Systems and methods for providing content recommendations
Systems and associated methods are described for providing content recommendations. The system receives a plurality of sets of range values, each of which corresponds to a respective one of a plurality of parameters for recommending the content. The system selects different values within each of the plurality of sets of range values over time and provides a plurality of content recommendations to users based on the selected different values. The system then analyze users' behavior in response to the provided plurality of content recommendations. The system further updates at least one set of range values based on the analyzed users' behavior.
1. A method comprising:
receiving a plurality of weight ranges, each weight range corresponding to a parameter of a plurality of parameters;
selecting a weight value for each parameter based on a respective weight range;
determining a recommendation score based on the selected weight values for the plurality of parameters;
generating for display a content recommendation to a user device according to the recommendation score determined;
receiving input from the user device in response to the content recommendation;
adjusting, using control circuitry, each weight range of the plurality of weight ranges based on the received input from the user device; and
generating for display a second content recommendation to the user device based on the adjusted weight ranges.
2. The method of claim 1 , further comprising providing a second content recommendation based on the adjusting of at least one of the respective weight ranges.
3. The method of claim 1 , wherein receiving the user's input comprises:
tracking the user's input in response the content recommendation; and
analyzing the user's input to determine the user's engagement levels with the content recommendation.
4. The method of claim 3 , wherein the adjusting comprises shifting the weight ranges based on the user's engagement levels with the content recommendation.
5. The method of claim 1 , wherein the plurality of parameter weight ranges is received from a content provider.
6. The method of claim 1 , wherein selecting the weight value comprises randomly selecting a weight value bounded by the respective weight range.
7. The method of claim 1 , wherein the plurality of parameters comprises popularity of content among users.
8. The method of claim 1 , wherein the plurality of parameters further comprises one or more of recency of content and similarity to favorite content.
9. The method of claim 1 , wherein the plurality of parameters further comprises one or more of similarity to content liked by the users, and/or critic of the content.
10. The method of claim 1 , wherein the adjusting is performed based on a schedule.
11. A system for recommending a content, the system comprising:
a memory configured to store parameter data;
control circuitry configured to:
receive a plurality of weight ranges, each weight range corresponding to a parameter of a plurality of parameters stored in the memory;
select a weight value for each parameter based on a respective weight range;
determine a recommendation score based on the selected weight values for the plurality of parameters;
generate for display a content recommendation to a user device according to the recommendation score determined;
receive input from the user device in response to the content recommendation;
adjust, using control circuitry, each weight range of the plurality of weight ranges based on the received input from the user device; and
generate for display a second content recommendation to the user device based on the adjusted weight ranges.
12. The system of claim 11 , wherein, to receive the user's input, the control circuitry is further configured to:
provide a second content recommendation based on the adjusting of at least one of the respective weight ranges.
13. The system of claim 11 , wherein the control circuitry is configured to:
track the user's input in response the content recommendation; and
analyze the user's input to determine the user's engagement levels with the content recommendation.
14. The system of claim 13 , wherein the control circuitry is configured to:
shift the weight ranges based on the user's engagement levels with the content recommendation.
15. The system of claim 11 , wherein the plurality of parameter weight ranges is received from a content provider.
16. The system of claim 11 , wherein the selection of the weight value comprises randomly selecting a weight value bounded by the respective weight range.
17. The system of claim 11 , wherein the plurality of parameters comprises popularity of content among users.
18. The system of claim 11 , wherein the plurality of parameters comprises one or more of recency of content and similarity to favorite content.
19. The system of claim 11 , wherein the plurality of parameters further comprises one or more of similarity to content liked by the users and/or a critic of the content.
20. The system of claim 11 , wherein the control circuitry is configured to perform the adjusting of each weight range based on a schedule.