Method and system for recommending content
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United States of America Patent
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Jun 13, 2023
Grant Date -
Jul 6, 2017
app pub date -
Dec 30, 2015
filing date -
Dec 30, 2015
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Abstract
The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.
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