| 摘要 |
A recommendation system is disclosed that generates recommendations for one or more items based on the combined preferences of a number of individuals. The disclosed recommender initially identifies the individuals that are present, and thereafter generates a recommendation score based on the combined preferences of each user. In one implementation, a recommendation score is first computed for each individual, before a combined recommendation score is computed for the entire group. The combined recommendation score, C, can be computed, for example, using an average or a weighted average.
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