Method and system for determining a relevancy parameter for content item
First Claim
1. A method of determining a relevancy parameter for a digital content item, the digital content item being originated from a content channel associated with a recommendation system,the relevancy parameter for ranking the digital content item as a recommended content item for users of the recommendation system, the recommendation system including a server and at least one client device connectable to the server via a communication network,the method executable by the server, the server further being configured to execute a recommendation algorithm to generate a set of recommended content items for a given user of the recommendation system;
- the method comprising;
identifying a pool of users associated with the content channel, a given user of the pool of users being associated with the content channel;
in response to receiving a content recommendation request from a first client device associated with a first user that belongs to the pool of users;
generating, using the recommendation algorithm, the set of recommended content items for the first user, a given item of the set of recommended content items not originating from the content channel;
artificially inserting into the set of recommended items the digital content item;
gathering an indication of user interactions of the first user with the set of recommended items, the user interactions indicative of the first user'"'"'s propensity for the digital content item; and
predicting relevancy parameter of the digital content item for a user outside of the pool of users based on the user interactions of the first user.
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Abstract
A method of determining a relevancy parameter for a digital content item and a system for implementing the method. The digital content item is originated from a content channel associated with a recommendation system. The method is executable by the server. The method comprises: identifying a pool of users associated with the content channel, a given user of the pool of users being associated with the content channel. The method comprises using the pool of users to explore and predict a relevancy parameter. The relevancy parameter is then used for predicting relevancy parameter of the digital content item for a user outside of the pool of users based on the user interactions of the first user.
255 Citations
19 Claims
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1. A method of determining a relevancy parameter for a digital content item, the digital content item being originated from a content channel associated with a recommendation system,
the relevancy parameter for ranking the digital content item as a recommended content item for users of the recommendation system, the recommendation system including a server and at least one client device connectable to the server via a communication network, the method executable by the server, the server further being configured to execute a recommendation algorithm to generate a set of recommended content items for a given user of the recommendation system; the method comprising; identifying a pool of users associated with the content channel, a given user of the pool of users being associated with the content channel; in response to receiving a content recommendation request from a first client device associated with a first user that belongs to the pool of users; generating, using the recommendation algorithm, the set of recommended content items for the first user, a given item of the set of recommended content items not originating from the content channel; artificially inserting into the set of recommended items the digital content item; gathering an indication of user interactions of the first user with the set of recommended items, the user interactions indicative of the first user'"'"'s propensity for the digital content item; and predicting relevancy parameter of the digital content item for a user outside of the pool of users based on the user interactions of the first user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A recommendation server for generating a digital content recommendation, the digital content recommendation for displaying on an electronic device associated with a user, the server connectable to the electronic device via a communication network, the recommendation server executing a ranking algorithm, the recommendation server comprising a processor configured to determine a relevancy parameter for a content item, the digital content item being originated from a content channel associated with the recommendation server,
the relevancy parameter for ranking the digital content item as a recommended content item for users of the recommendation server, the recommendation server including a server and at least one client device connectable to the server via a communication network, the method executable by the recommendation server, the processor of the recommendation server further being configured to execute a recommendation algorithm to generate a set of recommended content items for a given user of the recommendation server; the processor being further configured to; identify a pool of users associated with the content channel, a given user of the pool of users being associated with the content channel; in response to receiving a content recommendation request from a first client device associated with a first user that belongs to the pool of users; generate, using the recommendation algorithm, the set of recommended content items for the first user, a given item of the set of recommended content items not originating from the content channel; artificially insert into the set of recommended items the digital content item; gather an indication of user interactions of the first user with the set of recommended items, the user interactions indicative of the first user'"'"'s propensity for the digital content item; and predict a relevancy parameter of the digital content item for a user outside of the pool of users based on the user interactions of the first user.
Specification