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System and method for adaptively selecting and delivering recommendations to a requester

  • US 7,860,925 B1
  • Filed: 05/03/2007
  • Issued: 12/28/2010
  • Est. Priority Date: 10/19/2001
  • Status: Active Grant
First Claim
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1. A recommendation system for delivering a list of recommendations to a requester system over a computer network, the recommendation system comprising:

  • one or more processing units executing instructions implementing;

    a plurality of producer modules in communication with the requester system, each of the plurality of producer modules receiving a request for recommendations from the requester system and producing a list of initial recommendations in response thereto, each of the recommendations in a list of initial recommendations including a confidence level and a producer identifier; and

    a recommendation engine configured to;

    modify each of the confidence levels in a given list of initial recommendations based on a weighting value associated with the producer module that produced the given list of initial recommendations; and

    select one or more of the recommendations from the lists of initial recommendations based on the confidence levels of the recommendations to produce a list of survived recommendations that are transmitted to the requester system;

    wherein the recommendation engine is further configured to;

    combine the lists of initial recommendations into a combined list of recommendations;

    sort the recommendations in the combined list of recommendations according to the confidence levels of each of the recommendations in the combined list of recommendations to produce a sorted list of recommendations; and

    select one or more survived recommendations from the sorted list of recommendations to produce the list of survived recommendations; and

    wherein the recommendation engine is further configured to;

    select a first predetermined number N of recommendations from the sorted list of recommendations;

    select a second predetermined number M of recommendations from the first predetermined number N of recommendations, wherein a likelihood of a given one of the M recommendations being selected from the first predetermined number N of recommendations is related to the confidence level of the given one of the M recommendation; and

    select the one or more survived recommendations from the second predetermined number M of initial recommendations.

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