Popularity tendency analysis of ranking-oriented collaborative filtering from the perspective of loss function

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

5 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)451-465
Journal / PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8421 LNCS
Issue numberPART 1
Publication statusPublished - 2014

Conference

Title19th International Conference on Database Systems for Advanced Applications, DASFAA 2014
PlaceIndonesia
CityBali
Period21 - 24 April 2014

Abstract

Collaborative filtering (CF) has been the most popular approach for recommender systems in recent years. In order to analyze the property of a ranking-oriented CF algorithm directly and be able to improve its performance, this paper investigates the ranking-oriented CF from the perspective of loss function. To gain the insight into the popular bias problem, we also study the tendency of a CF algorithm in recommending the most popular items, and show that such popularity tendency can be adjusted through setting different parameters in our models. After analyzing two state-of-the-art algorithms, we propose in this paper two models using the generalized logistic loss function and the hinge loss function, respectively. The experimental results show that the proposed methods outperform the state-of-the-art algorithms on two real data sets. © 2014 Springer International Publishing Switzerland.

Research Area(s)

  • Collaborative filtering, loss function, matrix factorization

Citation Format(s)

Popularity tendency analysis of ranking-oriented collaborative filtering from the perspective of loss function. / Mao, Xudong; Li, Qing; Xie, Haoran et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8421 LNCS, No. PART 1, 2014, p. 451-465.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review