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

Xudong MAO, Qing LI, Haoran XIE, Yanghui RAO

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications
EditorsSourav S. BHOWMICK, Curtis E. DYRESON, Christian S. JENSEN, Mong Li LEE, Agus MULIANTARA, Bernhard THALHEIM
Place of PublicationSwitzerland
PublisherSpringer, Cham
Pages451-465
Number of pages15
Volume8421
ISBN (Electronic)9783319058108
ISBN (Print)9783319058092
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventThe 19th International Conference on Database Systems for Advanced Applications - Aerowisata Sanur Beach Hotel, Bali, Indonesia
Duration: 21 Apr 201424 Apr 2014
https://www.comp.nus.edu.sg/~dasfaa14/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag GmbH and Co. KG
ISSN (Print)0302-9743

Conference

ConferenceThe 19th International Conference on Database Systems for Advanced Applications
Abbreviated titleDASFAA 2014
CountryIndonesia
CityBali
Period21/04/1424/04/14
Internet address

Keywords

  • Collaborative filtering
  • loss function
  • matrix factorization

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    MAO, X., LI, Q., XIE, H., & RAO, Y. (2014). Popularity tendency analysis of ranking-oriented collaborative filtering from the perspective of loss function. In S. S. BHOWMICK, C. E. DYRESON, C. S. JENSEN, M. L. LEE, A. MULIANTARA, & B. THALHEIM (Eds.), Database Systems for Advanced Applications (Vol. 8421, pp. 451-465). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Springer, Cham. https://doi.org/10.1007/978-3-319-05810-8_30