Recommendation aggregation for digest generation
AssigneeFuji Xerox Co., Ltd.
InventorsDaniel-Alexander Billsus, Christopher Culy, David Hilbert, Jonathan Trevor
Life of this patent
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Abstract
Systems and methods for processing automatically generated recommendations. In various exemplary embodiments, a method of producing a recommendation digest for a user includes (a) generating a recommendation log for the user by storing a plurality of recommendations, one or more of the plurality of recommendations relating to a representation of a context that led to the creation of the one or more recommendations for the user, and (b) determining a subset of recommendations by using one or more statistics obtained from processing the plurality of recommendations stored in the log.
Claims39
A method of producing a recommendation digest for a user, comprising:
- generating a recommendation log for the user by storing a plurality of recommendations, one or more of the plurality of recommendations relating to a representation of a context that led to the creation of the one or more recommendations for the user;
- and
- determining a subset of recommendations by using one or more statistics obtained from processing the plurality of recommendations stored in the log.
A system to generate a recommendation digest for a user, comprising:
- a logging component that accepts a plurality of recommendations in response to the user accessing content, the plurality of recommendations being stored in a recommendation log;
- an aggregation component that determines a subset of recommendations by using one or more statistics obtained from processing the plurality of recommendations stored in the log;
- and
- a digest generation component that generates the recommendation digest based on the subset of recommendations determined by the aggregation component.
A machine-readable medium that provides instructions for processing information, instructions that, when executed by a processor, cause the processor to perform operations comprising:
- generating a recommendation log for a user by storing a plurality of recommendations, one or more of the plurality of recommendations relating to a representation of a context that led to the creation of the one or more recommendations for the user;
- and
- determining a subset of recommendations by using one or more statistics obtained from processing the plurality of recommendations stored in the log.
Dependencies are inferred from the claim text.