A Personalized Trust-Aware Model for Travelogue Discovering

被引：5

作者：

Zhang, Shilong ^{[1
]}

Zhang, Richong ^{[1
]}

Liu, Xudong ^{[1
]}

Sun, Hailong ^{[1
]}

机构：

[1] Beihang Univ, Sch Comp Sci, Beijing, Peoples R China

来源：

2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY WORKSHOPS (WI-IAT WORKSHOPS 2012), VOL 3 | 2012年

基金：

中国国家自然科学基金;

关键词：

Travelogue; Recommender System; Trust; RECOMMENDER SYSTEMS;

D O I：

10.1109/WI-IAT.2012.160

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays, many social tourism platforms, such as tripadvisor.com and lvping.com, provide tourists opportunities to share their experiences on tourism destinations, services and sites. The increasing number of these available opinions makes potential travelers impossible easily discovering helpful information from an immense number of lengthy travelogues. Therefore, it is vitally important to develop models and algorithms to assist potential tourists access useful travelogues. This paper proposes a travelogue discovering model that incorporates the implicit trust relations among the social tourism platform, with the aim of discovering the most suitable travelogue for travelers. In addition, the model generates personalized assistance for tourists. The empirical study confirms the effectiveness of our proposed model in discovering helpful travelogues.

引用

页码：112 / 116

页数：5

共 10 条

[1] [Anonymous], 2010, P 17 INT C WORLD WID, DOI DOI 10.1145/1772690.1772732
[2] [Anonymous], 2004, P 13 INT C WORLD WID, DOI DOI 10.1145/988672.988727
[3] [Anonymous], 1999, TECH REPORT STANFORD
[4] USING COLLABORATIVE FILTERING TO WEAVE AN INFORMATION TAPESTRY
GOLDBERG, D
NICHOLS, D
OKI, BM
TERRY, D
[J]. COMMUNICATIONS OF THE ACM, 1992, 35 (12) : 61 - 70
[5] Guha R., 2002, OPEN RATING SYSTEMS
[6] Lucchese Claudio, 2012, Advances in Information Retrieval. Proceedings of the 34th European Conference on IR Research (ECIR 2012), P195, DOI 10.1007/978-3-642-28997-2_17
[7] Trust-aware collaborative filtering for recommender systems
Massa, P
Avesani, P
[J]. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2004: COOPIS, DOA, AND ODBASE, PT 1, PROCEEDINGS, 2004, 3290 : 492 - 508
[8] Recommender systems
Resnick, P
Varian, HR
[J]. COMMUNICATIONS OF THE ACM, 1997, 40 (03) : 56 - 58
[9] Witten I.H., 2000, Data Mining: Practical Machine Learning Tools and Techniques
[10] Ye M, 2011, PROCEEDINGS OF THE 34TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR'11), P465

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