PDF-Inuence in RatingsBased Recommender Systems An AlgorithmIndep enden Approac Al Mam un ur Rashid George Karypis John Riedl Abstract Recommender systems ha een sho wn to help users nd items of in teres
In57357uenc is measure of the e57355ect of user on the recommendations from recommender system In 57357uence is erful to ol for understanding the orkings of recommender
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