Method and system for recommending targeted television programs based on online behavior
View Patent ↗Methods, systems, and programming for recommending targeted television programs based on online behavior is provided. In one example, information related to one or more online activities of a user is received. An identifier associated with the user is determined. Information related to television consumption of the user is assessed based on the identifier. An index is generated based on the online activity information and the television consumption information. One or more recommendations are generated based on the index.
1. A method for facilitating a television program presentation and content insertion thereto, the method being implemented on a machine having at least one processor, storage, and a communication platform, the method comprising:
receiving, by a user online activity analyzer, information related to online activities of a plurality of users;
identifying, by the user online activity analyzer, based on the online activity information, a characteristic that is shared by a group of the plurality of users;
accessing, by a user television consumption analyzer, television consumption information of the group of users;
determining, by the user television consumption analyzer, one or more television programs consumed by the group of users based on the television consumption information;
determining, by an indexing module, an index that correlates the characteristic shared by the group of users, each of the one or more television programs, and a score corresponding to each of the one or more television programs based on an amount of online activity related to the characteristic, an amount of users performing online activity related to the characteristic, or an amount of time or frequency that users consume the corresponding television program; and
generating, by a recommendation module, a recommendation of a first television program from the one or more television programs to be presented with an advertisement based on the index and score for the first television program relative to the other scores for the other television programs,
wherein the advertisement is inserted in a presentation of the first television program and is identified as being associated with the characteristic shared by the group of users.
2. The method of claim 1 , wherein determining the score is based on the amount of online activity related to the characteristic or the amount of users performing online activity related to the characteristic.
3. The method of claim 1 , wherein determining the score comprises determining the score is based on the number of users in the group of users who consumed the respective television program.
4. The method of claim 1 , wherein determining the score comprises determining the score is based on the amount of time that the group of users spent consuming the respective television program.
5. The method of claim 1 , wherein the recommendation of the first television program is generated based on at least one of pricing information associated with the first television program or volume information associated with the first television program,
wherein the pricing information comprises information related to cost of purchasing time during a presentation of the first television program, and
wherein the volume information comprises information related to quantity of viewers during the presentation of the first television program.
6. The method of claim 1 , further comprising:
receiving information related to offline activities of the plurality of users,
wherein identifying the shared characteristic comprises identifying the shared characteristic of the group of users based on the online activity information and the offline activity information.
7. The method of claim 6 , wherein the one or more offline activities comprise one or more offline transactions.
8. The method of claim 1 , wherein identifying the shared characteristic comprises identifying the shared characteristic of the group of users based on, an amount of online activities performed by the group of users that are related to a same type of online resources.
9. The method of claim 1 , wherein the group of users comprises a first group of users, wherein determining the score comprises determining one or more first correlation scores associated with the shared characteristic of the first group of users and the one or more television programs, the method further comprising:
identifying, based on the online activity information, a characteristic shared by a second group of users;
accessing information related to television consumption of the second group of users; determining one or more other television programs based on the television consumption information of the second group of users; determining one or more second correlation scores associated with the shared characteristic of the second group of users and the one or more other television programs; and generating an index indicating (i) the shared characteristic of the first group of users, (ii) the one or more first correlation scores, (iii) the shared characteristic of the second group of users, and (iv) the one or more second correlation scores, wherein the advertisement is recommended to be presented with the television program based on the generated index.
10. The method of claim 1 , wherein the one or more online activities comprises at least one of accessing of online content, posting of online content, or making an online transaction.
11. A system having at least one processor, storage, and a communication platform for facilitating a television program presentation and content insertion thereto, the system comprising:
a user online activity analyzer configured to receive information related to one or more online activities of a plurality of users, and identify a characteristic that is shared by a group of the plurality of users based on the online activity information;
a user television consumption analyzer configured to access television consumption information of the group of users, and determine one or more television programs consumed by the group of users based on the television consumption information;
an indexing module configured to determine an index that correlates the characteristic shared by the group of users, each of the one or more television programs, and a score corresponding to each of the one or more television programs based on an amount of online activity related to the characteristic, an amount of users performing online activity related to the characteristic, or an amount of time or frequency that users consume the corresponding television program; and
a recommendation module configured to generate a recommendation of a first television program from the one or more television programs to be presented with an advertisement based on the index and score for the first television program relative to the other scores for the other television programs, wherein the advertisement is inserted in a presentation of the first television program and is identified as being associated with the characteristic shared by the group of users.
12. The system of claim 11 , wherein determining the score is based on the amount of online activity related to the characteristic or the amount of users performing online activity related to the characteristic.
13. The system of claim 11 , wherein determining the score comprises determining the score is based on the number of users in the group of users who consumed the respective television program.
14. The system of claim 11 , wherein determining the score comprises determining the score is based on the amount of time that the group of users spent consuming the respective television program.
15. The system of claim 11 , wherein identifying the shared characteristic comprises identifying the shared characteristic of the group of users based on an amount of online activities performed by the group of users that are related to a same type of online resources.
16. A non-transitory machine-readable medium having information recorded thereon for facilitating a television program presentation and content insertion thereto, wherein the information, when read by the machine, causes the machine to perform the following:
receiving information related to online activities of a plurality of users;
identifying, based on the online activity information, a characteristic that is shared by a group of the plurality of users;
accessing television consumption information of the group of users;
determining one or more television programs consumed by the group of users based on the television consumption information;
determining an index that correlates the characteristic shared by the group of users, each of the one or more television programs, and a score corresponding to each of the one or more television programs based on an amount of online activity related to the characteristic, an amount of users performing online activity related to the characteristic, or an amount of time or frequency that users consume the corresponding television program; and
generating a recommendation of a first television program from the one or more television programs to be presented with an advertisement based on the index and score for the first television program relative to the other scores for the other television programs, wherein the advertisement is inserted in a presentation of the first television program and is identified as being associated with the characteristic shared by the group of users.
17. The medium of claim 16 , wherein determining the score is based on the amount of online activity related to the characteristic or the amount of users performing online activity related to the characteristic.
18. The medium of claim 16 , wherein determining the score comprises determining the score is based on the number of users in the group of users who consumed the respective television program.
19. The medium of claim 16 , wherein determining the score comprises determining the score is based on the amount of time that the group of users spent consuming the respective television program.