articleFeb 18, 2014Closed access

Personalized entity recommendation

University of Illinois Urbana-Champaign · Northeastern University

Indexed incrossref

Abstract

Among different hybrid recommendation techniques, network-based entity recommendation methods, which utilize user or item relationship information, are beginning to attract increasing attention recently. Most of the previous studies in this category only consider a single relationship type, such as friendships in a social network. In many scenarios, the entity recommendation problem exists in a heterogeneous information network environment. Different types of relationships can be potentially used to improve the recommendation quality. In this paper, we study the entity recommendation problem in heterogeneous information networks. Specifically, we propose to combine heterogeneous relationship information for…

Citation impact

744
total citations
FWCI
88.57
Percentile
100%
References
30
Citations per year

Authors

8

Topics & keywords

Keywords
  • Computer science
  • Recommender system
  • Heterogeneous network
  • Quality (philosophy)
  • Information retrieval
  • Social network (sociolinguistics)
  • World Wide Web
  • Data science
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