An angle-based interest model for text recommendation

Bei Xu*, Hai Zhuge

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Building an interest model is the key to realize personalized text recommendation. Previous interest models neglect the fact that a user may have multiple angles of interests. Different angles of interest provide different requests and criteria for text recommendation. This paper proposes an interest model that consists of two kinds of angles: persistence and pattern, which can be combined to form complex angles. The model uses a new method to represent the long-term interest and the short-term interest, and distinguishes the interest on object and the interest on the link structure of objects. Experiments with news-scale text data show that the interest on object and the interest on link structure have real requirements, and it is effective to recommend texts according to the angles.
Original languageEnglish
Pages (from-to)211–226
Number of pages6
JournalFuture Generation Computer Systems
Volume64
Early online date9 May 2016
DOIs
Publication statusPublished - Nov 2016

Bibliographical note

© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • text recommendation
  • interest model
  • multi-angle interest

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