Multi-dimensional user credibility analysis on review content

Yifan Gao, Yuming Li, Rong Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traditionally, user credibility evaluation is calculated by comparing the overall measurements in rating systems. Actually, a user’s rating against an item is different among aspects discussed in reviews. Then user credibility shall be discussed on aspect dimension instead of the overall evaluation dimension. To address this problem, we design a two-level model to analyze user credibility on aspects. Our method first detects all the involved aspects, and explores ratings for each aspect ratings by mining semantics in reviews. It makes full use of finegrained information contains in comment text and can sensitively capture fluctuates among aspects. We model user scoring relationship by a weighted bipartite graph with users and aspects as nodes and credibility as weights. An iteration algorithm is designed for credibility calculation on the graph. We perform extensive experiments to demonstrate the advantages of our design.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - APWeb 2015 Workshops, BSD, WDMA, and BDAT, Revised Selected Papers
EditorsKang Chen, Xiaoyan Yang, Liang Hong, Lei Zou, Rong Zhang, Ruichu Cai
PublisherSpringer Verlag
Pages161-170
Number of pages10
ISBN (Print)9783319281209
DOIs
StatePublished - 2015
EventInternational Conference on Web Technologies and Applications, APWeb 2015 - Guangzhou, China
Duration: 18 Sep 201518 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9461
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Web Technologies and Applications, APWeb 2015
Country/TerritoryChina
CityGuangzhou
Period18/09/1518/09/15

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