User-centric integrated recommendation by gradual adaptation based on focus of interests and its transition

Jian Chen, Xiaokang Zhou, Qun Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recommender system is a focus in the age of information explosion. In this study, with the benefit of social networking service, we propose a User-Centric Integrated Recommendation Model based on combining of users' individualities and commonalities, in which users' interests are focused and their transitions are traced by analyzing users' information access behaviors and histories, and then a sequence of information seeking actions are recommended to target users through dectecting the transitions of their interests focus by interaction of users and the system, and extracting successful experience from a reference user group, in which the reference users are similar to the target users. A set of bookmark tags are used to describe relations of Web pages. The pages accessed by users are classified by the bookmark tags, and grouped into two categories of individual and common interests and their sub-categories. The individual interests are divided into three types: strong interest, weak interest and uncertain interest. The common interests are divided into popular interest, public interest and private interest. In this paper, in addition to describing definitions and measures, we present a mechanism of inferring interest focus and show the system architecture. Finally, the conclusion and further work are introduced.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012
Pages435-441
Number of pages7
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012 - Chengdu, Sichuan, China
Duration: 2012 Oct 272012 Oct 29

Publication series

NameProceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012

Conference

Conference2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012
CountryChina
CityChengdu, Sichuan
Period12/10/2712/10/29

Keywords

  • data mining
  • gradual adaptation
  • information recommendation
  • user-centric

ASJC Scopus subject areas

  • Information Systems

Fingerprint Dive into the research topics of 'User-centric integrated recommendation by gradual adaptation based on focus of interests and its transition'. Together they form a unique fingerprint.

  • Cite this

    Chen, J., Zhou, X., & Jin, Q. (2012). User-centric integrated recommendation by gradual adaptation based on focus of interests and its transition. In Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012 (pp. 435-441). [6391939] (Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012). https://doi.org/10.1109/CIT.2012.101