[001] DESCRIPTION OF THE INVENTION

[002] The following specification particularly describes the invention and the manner in which it is to be performed:

[003] FIELD OF THE INVENTION

[004] The present invention relates to an intelligent system and method for recommending broadcast content by a user to the contacts in his contact list based on the preference of users in the contact list. More particularly, the invention helps in connecting the broadcast media and broadband media, particularly social media networks for better presentation of targeted advertisement to reach the potential customer without causing any privacy implications to the consumers or users.

[005] BACK GROUND OF INVENTION

[006] Nowadays, it is common to have at least one television in each household. Television offers a wide range of valuable programs with interesting and broad content and it serves to fulfill needs in terms of entertainment and knowledge. Hence, television is an integral and vital medium today and continues to have a strong influence for many years to come.

[007] A commercial advertisement on television ranging in duration from a few seconds to several minutes is produced and paid for by a company or an organization, which conveys a message, typically to market a product or service. Advertising revenues provide a significant portion of the funding for most of television networks. In addition to commercial advertisements for others, television networks itself will advertise their products and services like playing trailer of upcoming movie or serial and services like video on demand.

[008] Generally the people who eventually watch a television advertisement are not the potential consumers. So objective of advanced advertisement is to target the specific potential consumer or consumer groups Delivering advertisement to potential consumers based on collection of personal data and analysis of traits can be considered as one of such advanced advertisement technology. However, people take issue with the privacy implications associated with such techniques. To know which advertisement to deliver, marketers and advertisement networks, collect data from search history, online shopping portals and social media networks, track browsing history and collect purchase details from shopping centers.

[009] According to 'Socialnomics', a company analyzing social media, 90% of consumers trust peer recommendations on products or TV programs. Another observation by 'Socialnomics' is that only 18% of traditional TV campaigns generate a positive ROI. Studies by 'The Telegraph' and 'Neilsonwire' show relevance of using social media networks for friends' recommendation. Sixty-five per cent of the 16-24 year-olds who were polled for the survey, listed talking to their friends via Facebook® and Twitter®, as their top leisure activity. In the survey it is also revealed that 50% of the population on a site talks about various television contents.

[010] The facts listed above suggest that there is a high demand for a better advanced advertisement technique which will take the advertisement to right consumer by someone trustworthy to a consumer. There arises a need for connecting broadcast media and broadband media, particularly social media networks for better presentation and targeted advertisement to reach the potential customer without causing any privacy implications to the consumers or users.

[011] SUMMARY OF THE INVENTION

[012] The present invention discloses a system and method for recommending a broadcast content by a user watching the broadcast content. The system includes a content recommendation module configured to transmit recommendation regarding broadcast content to at least one contact of the user based on user input. The system also includes a recommendation managing module configured to present the recommendation of the broadcast content to the contact in a user interface. The recommendation managing module is further configured to categorize the broadcast content based on a selection option opted by the contact, wherein the selection option is selected from a plurality of selection options. The system provides subsequent recommendations of broadcast content to the contact based on the selection option.

[013] According to another embodiment, the invention discloses a method for transmitting recommendation for a broadcast content by a user watching the broadcast content. The method includes the steps of transmitting a content recommendation regarding broadcast content to at least one contact of the user based on the user input. The method also has a step of presenting the recommendation of the broadcast content to at least one contact. In another step of the method categorizing the broadcast content based on a selection option opted by at least one contact, wherein the selection option is selected from a plurality of selection options is done. The method also includes a step of providing the subsequent recommendations of broadcast content to at least one contact based on the selection option.

[014] The invention helps in connecting the broadcast media and broadband media particularly social media networks for better presentation of targeted advertisement to reach the potential customer without causing any privacy implications to the consumers or users. As the recommendation is done only by the peers of the customers there won't be any privacy issue. The invention also understands and addresses problems like inappropriate use and related user discomfort. The issue related to receiving unwanted recommendations by a customer is solved by giving the customer a choice to receive or not to receive a particular recommendation or a particular category of recommendation.

[015] BRIEF DESCRIPTION OF THE DRAWINGS

[016] FIGURE 1 illustrates an exemplary environment in which systems and methods consistent with the principles of the invention may be implemented.

[017] FIGURE 2 illustrates a system block diagram for broadcast content recommendation by a user watching the broadcast content in accordance with an embodiment of the invention.

[018] FIGURE 3 illustrates an exemplary user interface of recommendation of a broadcast content by a user where the broadcast content is an advertisement of a product in accordance with an embodiment of the invention.

[019] FIGURE 4 illustrates an exemplary user interface of receiving recommendation by a recipient in accordance with an embodiment of the invention.

[020] FIGURE 5 illustrates an exemplary user interface displaying various activity preferences and viewing preferences related to plurality of selection options available to the recipient who receives the product recommendation in accordance with an embodiment of the invention.

[021] FIGURE 6 illustrates an exemplary user interface where the user who has made previous recommendations tries to send new recommendation for a similar product advertisement.

[022] FIGURE 7 illustrates an exemplary user interface for recommendation of a broadcast content by a user where the broadcast content is an advertisement for an upcoming program in accordance with an embodiment of the invention.

[023] FIGURE 8 illustrates an exemplary user interface for a recipient of recommendation where the broadcast content recommended is an advertisement for an upcoming program in accordance with an embodiment of the invention.

[024] FIGURE 9 illustrates an exemplary user interface for various activity preferences and viewing preferences available to the recipient related to plurality of selection options who receives the program schedule recommendation in accordance with an embodiment of the invention.

[025] FIGURE 10 illustrates a process flow of the method for recommending a broadcast content by a user watching the broadcast content, according to an embodiment of the invention.

[026] DETAILED DESCRIPTION OF THE INVENTION

[027] Reference will now be made in detail to the description of the present subject matter, one or more examples of which are shown in figures. Each example is provided to explain the subject matter and not a limitation. Various changes and modifications obvious to one skilled in the art to which the invention pertains are deemed to be within the spirit, scope and contemplation of the invention.

[028] Before describing in detail embodiments that are in accordance with the present invention, it should be observed that the embodiments reside primarily in combinations of system components related to broadcasting media and social network media. The invention provides a system and method for recommending products and programs being advertised at the moment to friends in social media networks. The invention also suggests a mechanism to payout incentives to both recommenders and recipients of the facility. The system describes the process of learning and analysis of transactions for better functioning of the system. The system envisages inappropriate usage and causing difficulty to genuine users which is managed by a set of controls and configurations opted by the user.

[029] FIGURE 1 illustrates an exemplary environment in which systems and methods consistent with the principles of the invention may be implemented. The network consists of several clients (101, 102, 103) where the system and method of broadcast content recommendation is implemented. These clients (101, 102, 103) interact with server (105) and transmit recommendations to various clients through a network (104). The server (105) uses various databases for transmitting and correlating the recommendations and the response of the recipients for the recommendation made by the system. In some embodiments, the server (105) may also connect to another server (106).

[030] In practice, there will be more number of servers and clients. In some situations, a server may perform the functions of all the two servers (105, 106) illustrated in the FIGURE 1. It may be also contemplated that server may be one or many. It is also possible that in case of a standalone application mode, a server may not exist and all the logic may be implemented in the client.

[031] The client (101) may include any device like a set top box(STB), television(TV), gaming devices, personal computer, Laptop, Mobile device, Tablet, or any other types of device that can support two way interactions with the user either using a graphical user interface or through other interface mechanisms like voice or gesture or video. Thus client (101) may be any device that is capable of displaying or receiving the broadcast content and recommendation for a broadcast content.

[032] In some cases all or part of the server configurations may be running on the client (101). In some cases, the client (101) may connect to multiple servers during the process of transmitting broadcast recommendations or while receiving broadcast recommendations from the system. In certain scenario, the client (101) may perform the functions of server or server may perform client functions.

[033] The above mentioned functions may be part of one server or several servers and each server may implement the functionalities of others. It may be possible that any of the server may be implemented using a cluster of servers involving two or more separate devices with all the other associated devices like load balancer, firewall, routers etc.

[034] Network (104) may include for example a local area network (LAN), a wide area network (WAN), a Wide Local Area Network (WLAN), Wireless Personal Area Network (WPAN), Wireless Metropolitan Area Network (WMAN), a telephone network, such as the Public Switched Telephone Network (PSTN), an intranet, the Internet, a memory device, or a combination of networks. The network (104) may be wired, wireless, optical, or any other information transmission mechanisms.

[035] The broadcast content is categorically stored in the server database along with their corresponding metadata for facilitating the recommendation of the broadcast content. The broadcast content is categorized according to the genre in which they belong. The system provides facility to transmit recommendation to the user's contact either in a broadcast media or in a social network media or in both media. The system according to an embodiment allows the user to view all the recommendations done by all the contacts in his contact list. The broadcast content may be a promotional trailer of an upcoming program or an advertisement of a product or a Video on Demand. All the user activities are tracked by the system to provide a less error prone broad cast content recommendation system.

[036] FIGURE 2 illustrates a system block diagram for broadcast content recommendation by a user watching the broadcast content in accordance with an embodiment of the invention. The system (200) includes a content recommendation module (202), a recommendation managing module (204). The content recommendation module (202) is responsible for transmitting a recommendation regarding a particular broadcast content to the contacts in the contact list of the user based on user input. The recommendation managing module (204) presents the recommendation of the broadcast content to at least one contact. The recommendation managing module (204) is further responsible for categorizing the broadcast content based on a selection option opted by a contact. The selection option is selected from a list containing plurality of selection options. The system provides the subsequent recommendations of broadcast content to the contact based on the selection option chosen by the contact for prior recommendations.

[037] The system (200) also includes a profile managing module (206) that manages profile contacts based on a behavior history associated with the contact. The behavior history includes at least one behavior pattern of the contact to the broadcast content recommendation. The profile managing module (206) is also responsible for collecting at least one contact from a contact list in a social network or from other sources to identify the user's contacts. The profile managing module (206) manages the profile of the users which is stored in a server of the system for each and every user of the system. The profile managing module (206) may have a social network interface to facilitate retrieval of the contact details of a user from the social network. The user profile is updated depending upon user's behavior pattern.

[038] According to an embodiment of the present invention a user who is watching a broadcast content may transmit a recommendation to a contact in his contact list. The contact list is created by retrieving the user's contacts from the social network. An option is provided to the user to add more friends by their choice. The profile managing module (206) stores and maintains the profile of the contacts in the contact list of the user. The recommendation may be transmitted by the content recommendation module (202) by pressing a key in the system or by selecting an option from the menu. Once the user selects the recommendation option then the user will be shown a list of contacts to which the user may transmit a recommendation for the broadcast content.

[039] The broadcast content is categorically stored in the server along with their corresponding metadata for facilitating the recommendation of the broadcast content. The content database also stores the time frame, program number and frequency along with other metadata such as a product site or other product information which is required for the recommendation. Once the user selects recommendation then the system may transmit the content key of the broadcast content for recommendation along with the time stamp and source identification data in order to retrieve metadata from the content server. As part of the system a database with a look-up table may be hosted to support converting relative time of the program being played and corresponding advertisement or content. The advertisement details may include information such as a category of product/service, URL to get more information about the product or service, a web portal to purchase etc. In the case of advertisement of an upcoming program, the details may include scheduled time of the program, channel details etc so that the recipient may quickly switch to the respective channel. For services offered by television network provider such as Video on Demand (VoD), quick links will be created at recipient's set top box to consume the recommended VoD content.

[040] The system provides facility to transmit recommendation to the user's contact either in broadcast media or in social network media or in both media. The recommendation managing module (204) according to an embodiment allows the user to view all the recommendations done by all the contacts in his/her contact list.

[041] According to another embodiment of the present invention when a user watches a particular broadcast content then the user is shown a pop up which shows the contacts in the user's contact list. The contacts in the user's contact list may be those who are interested in receiving a recommendation for that broadcast content. The interest of the contacts is determined based on their behavior history by checking the prior behavior pattern to such category of broadcast recommendation.

[042] According to an embodiment of the present invention the plurality of selection options correspond to a viewing preference for the broadcast content recommended to the contact and activity preferences for the broadcast content recommended to the user. When a contact of a user receives a recommendation corresponding to broadcast content then the recipient contact is provided with plurality of viewing preferences. The recipient contact is provided with the capability of deciding whether to receive such recommendation in the future from other users for the same product or not to receive recommendation in the future for the same product or same category of broadcast content. The user's of the system is also provided with a provision to decide the set of contact's from whom the user wants to receive recommendation. The recipients may also block a particular user who recommends a broadcast content. If the recipient blocks the user then the user may not be able to send any recommendation in future.

[043] The system (200) also includes an incentive module (208) responsible for allocating credits to the user and to the recipient of the user recommendation. The incentive module (208) tracks the profile of the users based on their conduct to the recommendations received in order to make decision on allocating the credits.

[044] In an embodiment of the invention the recipient of the broadcast recommendation is provided with an activity preference such as "Buy now" or "Buy later" if the recommendation relates to a product advertisement. If the recipient selects to choose "Buy now" option then purchase details for that particular content gets displayed and user may buy the product by making the necessary payment. Once the user buys the products, the profile of the recipient as well as the user who recommends that product gets updated about the purchase details. Based on these profile updates the incentive module (208) may determine the credits for the user as well as the recipient.

[045] In another embodiment of the invention the recipient of the broadcast recommendation is provided with an activity preference option for a broadcast content recommendation related to scheduling programs then the activity preference options may be as "Schedule now" and "Schedule later". Here the scheduling program may be a trailer of an upcoming program. If the recipient selects to choose "Schedule now" option then he is taken to the program guide for scheduling the program straight away. The recipient is also allowed to select an option "Schedule later" where the user may be alerted later by the system to schedule the program. Once the user schedules and watches the program then the profile of the recipient as well as the user who recommends that program gets updated about the viewing details. Based on these profile details incentive module may determine the credits for the user as well as the recipient.

[046] According to an embodiment of the invention the recipient of the broadcast content recommendation is provided with an activity preference option such as "Recommendation". If the recipient selects "Recommendation" option then the recipient may be directed to the recommendation page from where the recipient of the recommendation is facilitated to retransmit the recommendation to at least one contact in his contact list.

[047] According to another embodiment of the invention the recipient of the broadcast recommendation is provided with various viewing preferences such as "Like", "Don't like" and "Not this category". If the recipient selects "Like" option then the recipient receives future recommendation for the same broadcast content from his contacts. If the recipient selects "Don't like" option then the recipient won't receive any further recommendation for the same product form the same brand where the broadcast content is advertisement of a product. In case the broadcast content is "program schedule" then the recipient won't be recommended for scheduling of the program in future from any of the contacts in the contact list. If the recipient selects "Not this category" then the recipient won't be sent any broadcast content recommendation for the same category of product in case of advertisement of a product. Similarly in case of scheduling the program the recipient won't receive any further recommendation for scheduling the program of the same category form any of the contacts in his contact list.

[048] Based on the activity preference or viewing preference selection made by a recipient, behavior pattern of the recipient is determined. The profile of the user who recommended the broadcast content as well as the profile of the recipient is updated according to recipient's behavior pattern.

[049] According to an embodiment of the invention the recommendation managing module (204) is configured to present the recommendation sent by a user as a notification on a user interface displayed on the display device of the recipient of recommendation.

[050] FIGURE 3 illustrates an exemplary user interface of recommendation of a broadcast content by a user where the broadcast content is an advertisement of a product in accordance with an embodiment of the invention. Here the user, Paul who is watching a tennis ball advertisement on television plans to recommend the advertisement to his friends Tom and Jack who used to play tennis. Paul then selects a recommendation page either by selecting an option from the user interface of the device or by pressing a key in a remote control which is intended to show the recommendation page. In the recommendation page Paul may be able to select the friends to whom he wants to transmit a recommendation. Paul selects Tom and Jack.

[051] FIGURE 4 illustrates an exemplary user interface of receiving recommendation by a recipient in accordance with an embodiment of the invention. In this exemplary embodiment, Tom and Jack receive the recommendation from Paul. The recommendation is shown as a notification on the user interface in the device of the recipient. In one scenario the notification may flicker on the user interface for a few seconds and disappears. If the user selects the notification then a notification page is getting displayed where the recipient is able to see all the recommendations he received and in this particular scenario the recommendation from Paul which is shown in an interface element (401). When the recipient selects the recommendation then a new page is displayed in the user interface of the recipient with various options to select from the activity preference and viewing preference.

[052] FIGURE 5 illustrates the user interface displaying various activity preferences and viewing preferences available to the recipient who receives the product recommendation in accordance with an embodiment of the invention. The recipient is provided with various options on the user interface to select including "Buy Now", "Buy later", "Recommend", "Like", "Do not like" and "Not this category". If the recipient selects "Buy now" option then the recipient is forwarded to a purchase form which may enable the recipient to buy the product. If the recipient selects "Buy later" or "Like" option then the recipient is taken back to the current television program he was viewing. In one embodiment if a recipient selects "Like" option then his name may be displayed as a pop up whenever the contacts in the recipient's contact list view the exactly same or same category of products. Based on the selection of the options by a recipient behavior pattern of the recipient is determined and his profile is updated according to his behavior pattern.

[053] If the recipient selects "Recommend" option then the recipient may be forwarded to the recommendation page from where the recipient is enabled to recommend the recommendation he received to his contacts. If the recipient selects "Do not like" option then he may not receive recommendation for advertisement of same product from same brand. If recipient selects "Not this" category then he may not receive recommendation for advertisement for such category of products from any of the users. In the above scenario Tom selects "Buy now" option and Jack selects "Not this category" option. As Tom buys the product the profile of both the user Paul and Tom gets updated and Paul receives bonus points as Tom bought the product on Paul's recommendation. In one scenario even Tom may receive bonus point as he acted on Paul's recommendation as a promotion for the system of recommendation. The bonus points credited to Paul is notified to as a notification in Paul's user interface of broadcast content.

[055] FIGURE 6 illustrates an exemplary user interface where the user who has made previous recommendations tries to send new recommendation for a similar product advertisement. If the same user Paul who has transmitted recommendation for tennis ball previously is watching an advertisement for tennis racket. A pop up is displayed in the user interface of Paul showing a list of contacts or friends who might be interested in receiving the recommendation. The list of contact includes the one who acted positively for a previous recommendation for such category of advertisement. The list shows Tom but not Jack as he has acted negatively for a previous recommendation. Positive activities may be selecting an option among "Buy Now", "Buy later", "Recommend", "Like", for a received recommendation. The negative activity may be selecting options such as "Do not like", "Not this category" from the list of options.

[056] FIGURE 7 illustrates an exemplary user interface for recommendation of a broadcast content by a user where the broadcast content is an advertisement for an upcoming program in accordance with an embodiment of the invention. If the same user Paul is watching an advertisement of upcoming program of cartoon on television. Paul plans to recommend this program to his friends Tom and Jack who used to see cartoons. Paul selects the recommendation page and chooses Tom and Jack from his contact list. Meanwhile Tom who was watching television is shown a notification on his display.

[057] FIGURE 8 illustrates an exemplary user interface for a recipient of recommendation where the broadcast content recommended is an advertisement for an upcoming program in accordance with an embodiment of the invention. The recipient Tom selects the notification displayed in his user interface, he may be displayed with a recommendation page showing Paul's recommendation regarding the cartoon. If Tom further selects the recommendation made by Paul, he may be provided with the selection options to be selected from a list.

[058] FIGURE 9 illustrates an exemplary user interface for various activity preferences and viewing preferences available to the recipient who receives the program schedule recommendation in accordance with an embodiment of the invention. In case of a program schedule recommendation the recipient of the recommendation is provided with various options to select including "Schedule now", "Schedule later", "Recommend", "Like", "Do not like" and "Not this category". If the recipient selects schedule now option then the recipient may be forwarded to a user interface which helps the recipient to schedule the program. By scheduling, the user may be able to schedule the program either for watching or for recording using a program guide. If the recipient selects "Schedule later" or "Like option" then the recipient is taken back to the current television program he was viewing. In one embodiment if a recipient selects "Like" option then his name may be displayed as a pop up whenever the contacts in the recipient list view the exactly same or same category of trailer. In case of "Schedule later" the recipient may be reminded by the system at a later point of time

[059] If the recipient of the broadcast content recommendation selects "Recommend" option then the recipient may be forwarded to the recommendation page. If the recipient selects "Do not like option" then he may not receive recommendation for advertisement of scheduling programs. If recipient selects "Not this category" then he may not receive recommendation for advertisement for scheduling programs in that particular category from any of the users. In the above scenario Tom selects "Schedule now" option and Jack selects "Not this category option". Tom schedules the program and watches the same. The profile of both the user Paul and Tom gets updated and Paul receives bonus points as Tom watches the program on Paul's recommendation. In one scenario even Tom may receive bonus point as he acted on Paul's recommendation as a promotion for the system of recommendation. The bonus points credited to Paul is notified to Paul as a notification in Paul's display of broadcast content.

[061] Similarly the broadcast recommendation system may be envisaged for recommending a movie to buy or a video on demand content to buy. Such a system behaves in a similar manner that of a product advertisement recommendation.

[062] When a contact on the user is not viewing the television at the time of the recommendation then when the contact turns on a television connected to network then all the recommendations done by the contact's contact list is shown and he can perform any actions based on his interest. According to an embodiment of the invention the contact is enabled with an option to retransmit the recommendation made by a user to other contacts in his list depending up on their preferences. According to another embodiment of the present invention a user may view the entire credits he has received for various recommendations he has done.

[063] According to an embodiment of the invention the entire user and contact activities are tracked by the system in order to learn the user behavior pattern. The user profile is updated based on their behavior pattern. In another embodiment of the invention user is given the rights to update user's own preferences in order to override the already existing behavior history stored by the system.
[064] In one scenario the recommendation may be posted to the recipient's social network media. The system may transmit the transaction history to the server in order to keep track of the activities done by the user.

[065] FIGURE 10 illustrates a process flow of the method for recommending a broadcast content by a user watching the broadcast content, according to an embodiment of the invention. The method initiates at step (1001) whereby transmitting a content recommendation regarding a broadcast content to at least one contact of the user based on the user input. The content recommendation transmitted by the user contains the metadata corresponding to the particular content which helps the recipient of the recommendation to act up on the recommendation he received. At step (1002) the recommendation transmitted by a user is presented to the recipient if the recipient is available at that time. If the recipient of the recommendation is not available at the time of transmitting the recommendation then the recommendations may be displayed to the recipient when the recipient becomes available next time. At step (1003) the broadcast content is categorized based on a selection option opted by at least one contact, wherein the selection option is selected from a plurality of selection options. At step (1004) the subsequent recommendations of a broadcast content to the user is based on the selection option already selected by the user for a previous recommendation.

[066] According to an embodiment of the invention the process flow for transmitting content recommendation regarding broadcast content by a user further includes step of managing the profile of at least one contact based on a behavior history associated with at least one contact, where in the behavior history includes at least one behavior pattern of at least one contact to the broadcast content.

[067] According to another embodiment of the invention the step of managing the profile of at least one contact further comprises step of collecting at least one contact from a contact list in a social network of the user. The step of managing the profile further includes step of allocating credits to at least one of the user and at least one contact of the user based on at least one behavior pattern of at least one contact to the broadcast content.

[068] According to an embodiment of the invention the process flow of transmitting content recommendation by a user includes step of retrieving the recommendations made by all the users.

[069] According to another embodiment of the process flow of transmitting content recommendation regarding broadcast content by a user includes a step of presenting the recommendation as a notification on a display device of the recipient of the recommendation. In another scenario the recommendations received by the recipient is displayed in response to an input of the recipient. Input to the system may be selecting the option in a menu available with the broadcaster. In one scenario the input from the recipient may be in the form of a button press. A designated button may be available in the user interface which controls the recipients display device. The button may present as a hot key in a remote controller which is responsible for showing the recommendations.

[070] The method as described above include a series of steps and their order of execution in the embodiments of the invention illustrated and described herein is not essential, unless otherwise specified. That is, the steps may be performed in any order, unless otherwise specified, and embodiments of the invention may include additional or fewer steps than those disclosed herein. It may be envisioned that executing or performing a particular step before, contemporaneously with, or after another step is within the scope of the invention.

[071] INDUSTRIAL APPLICATIONS

[072] The invention provides an advanced broadcast content recommendation which may take the broadcast content to the right consumer or user by a trust worthy consumer or user. The invention helps in connecting the broadcast media and broadband media particularly social media networks for better presentation of targeted advertisement to reach the potential customer without causing any privacy implications to the consumers or users. The invention also helps in reducing the recipient discomfort while they receive unwanted recommendation.

[073] Claims
We claim:

1. A system for recommending a broadcast content by a user who is watching the broadcast content, the system comprising:

a) a content recommendation module configured to transmit recommendation regarding broadcast content to at least one contact from the contact list of the user based on the user input;

b) a recommendation managing module configured to:

i. present the recommendation of the broadcast content to at least one contact in a user interface; ii. categorize the broadcast content based on a selection option opted by at least one contact, wherein the selection option is selected from a list comprising plurality of selection options; and iii. provide subsequent recommendations of broadcast content to at least one contact based on the selection option;
wherein the system provides targeted advertisement without causing any privacy implication to the recipient of the recommendation.

2. The system as claimed in claim 1 wherein the system further comprises a profile managing module configured to manage a profile of at least one contact based on a behavior history associated with at least one contact, wherein the behavior history comprises at least one behavior pattern of at least one contact to the broadcast content.

3. The system as clamed in claim 2, wherein the profile managing module is further configured to collect at least one contact from a contact list in a social network of the user.

4. The system as claimed in claim 2 wherein the system further comprises an incentive module configured to allocate credits to at least one of the user and at least one contact of the user based on at least one behavior pattern of at least one contact to the broadcast content.

5. The system as claimed in claim 1, wherein the recommendation of the broadcast content is transmitted to at least one contact through at least one of a social network media and a broadcast media.

6. The system as claimed in claim 1, wherein the plurality of selection options comprises a plurality of viewing preferences for the broadcast content and a plurality of activity preferences for the broadcast content.

7. The system as claimed in claim 1, wherein the recommendation managing module is further configured to retrieve the recommendations made by at least one contact of the user.

8. The system as claimed in claim 1, wherein the recommendation managing module is configured to present recommendation as a notification on a display device.

9. The system as claimed in claim 1, wherein the recommendation managing module is configured to present recommendation in response to receiving a user input.

10. A method for recommending a broadcast content by a user who is watching the broadcast content, the method comprising the steps of:

a) transmitting a content recommendation regarding broadcast content to at least one contact of the user based on the user input;

b) presenting the recommendation of the broadcast content to at least one contact in a user interface of the recipient;

c) categorizing the broadcast content based on a selection option opted by at least one contact, wherein the selection option is selected from a plurality of selection options; and

d) providing the subsequent recommendations of broadcast content to at least one contact based on the selection option.

11. The method as claimed in claim 10 wherein the method further comprises the step of managing the profile of at least one contact based on a behavior history associated with the at least one contact, where in the behavior history comprises at least one behavior pattern of at least one contact to the broadcast content.

12. The method as claimed in claim 11 where in managing the profile of at least one contact further comprises step of collecting at least one contact from a contact list in a social network of the user.

13. The method as claimed in claim 11 wherein the step of managing the profile of the contact further comprises the step of allocating credits to at least one of the user and at least one contact of the user based on at least one behavior pattern of at least one contact to the broadcast content.

14. The method as claimed in claim 10 wherein the method further comprises the step of retrieving the recommendations made by at least one contact of the user.

15. The method as claimed in claim 10 wherein the method further comprises the step of presenting the recommendation as a notification on a display device.

16. The method as claimed in claim 10 wherein the method further comprises step of presenting the recommendation in response to receiving a user input.