FIELD: data processing.
SUBSTANCE: invention relates to a system of recommendations in a general sense, in particular to a method and a system for determining user-specific content proportions for recommending a system of recommendations to said user. Disclosed are method and system for determination of user-specific proportions of content types for recommendation to given user. Method and system include: obtaining for each corresponding type of content from at least two types of content of corresponding basic range of content proportions for recommendation, calculating for each corresponding type of content from at least two types of content of corresponding allocation of user interaction parameters based on a corresponding set of users, obtaining correspondingly related user-specific interaction parameter for given user, calculating for each corresponding content type a corresponding user-specific proportion of the corresponding content type for recommending content to that user, wherein corresponding user-specific proportion is in corresponding content proportions basic range and calculation is based on corresponding distribution of user interaction parameters from a set of users and corresponding to user-specific interaction parameter of said user.
EFFECT: technical result is wider range of means of such systems.
28 cl, 8 dwg
Title | Year | Author | Number |
---|---|---|---|
METHOD AND SYSTEM FOR DETERMINING PARAMETER RELEVANCE FOR CONTENT ITEMS | 2018 |
|
RU2714594C1 |
METHOD AND SERVER FOR PRESENTING RECOMMENDED CONTENT ITEM TO USER | 2017 |
|
RU2699574C2 |
METHOD AND SERVER OF CREATING RECOMMENDED SET OF ELEMENTS FOR USER | 2015 |
|
RU2629638C2 |
METHOD AND SYSTEM FOR GENERATING DIGITAL CONTENT RECOMMENDATION | 2018 |
|
RU2720952C2 |
RECOMMENDATIONS FOR THE USER ELEMENTS SELECTION METHOD AND SERVER | 2017 |
|
RU2693323C2 |
METHOD AND DEVICE FOR SELECTING NETWORK RESOURCE AS SOURCE OF CONTENT IN RECOMMENDATIONS SYSTEM | 2016 |
|
RU2636702C1 |
SYSTEM AND METHOD FOR GENERATING RECOMMENDATIONS OF DIGITAL ELEMENTS | 2022 |
|
RU2819646C1 |
METHOD AND DEVICE FOR CREATING RECOMMENDED LIST OF CONTENT | 2015 |
|
RU2632131C2 |
METHOD AND SYSTEM FOR RECOMMENDING FRESH SUGGEST SEARCH REQUESTS IN A SEARCH ENGINE | 2018 |
|
RU2692045C1 |
METHOD AND SYSTEM FOR EVALUATING DATA ON USER-ELEMENT INTERACTIONS | 2018 |
|
RU2725659C2 |
Authors
Dates
2020-05-14—Published
2018-09-14—Filed