[1] Yu Fang, Chen Dongling, Wang Daling, et al. User-oriented web search based on PLSA [J]. Journal of Southeast University (English Edition), 2007, 23 (3): 347-351. [doi:10.3969/j.issn.1003-7985.2007.03.007]

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User-oriented web search based on PLSA()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

23

Issue:

2007 3

Page:

347-351

Research Field:

Computer Science and Engineering

Publishing date:

2007-09-30

Info

Title:

User-oriented web search based on PLSA

Author(s):

Yu Fang¹;  Chen Dongling¹;  2;  Wang Daling¹;  Yu Ge¹;  Bao Yubin¹

¹College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
²School of Information, Shenyang University, Shenyang 110044, China

Keywords:

user-oriented search;  underlying search intention;  probabilistic latent semantic analysis(PLSA);  user profile;  topics of interest

PACS:

TP311

DOI:

10.3969/j.issn.1003-7985.2007.03.007

Abstract:

In order to solve the problem that current search engines provide query-oriented searches rather than user-oriented ones, and that this improper orientation leads to the search engines’ inability to meet the personalized requirements of users, a novel method based on probabilistic latent semantic analysis(PLSA)is proposed to convert query-oriented web search to user-oriented web search.First, a user profile represented as a user’s topics of interest vector is created by analyzing the user’s click through data based on PLSA, then the user’s queries are mapped into categories based on the user’s preferences, and finally the result list is re-ranked according to the user’s interests based on the new proposed method named user-oriented PageRank(UOPR).Experiments on real life datasets show that the user-oriented search system that adopts PLSA takes considerable consideration of user preferences and better satisfies a user’s personalized information needs.

References:

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[9] Lin Chenxi, Xue Guirong, Zeng Huajun, et al.Using probabilistic latent semantic analysis for personalized web search[C]//Proc of the Seventh Asia-Pacific Web Conference (APWeb2005).Shanghai, 2005, 3399:707-717.
[10] Dempster A, Laird N, Rubin D.Maximum likelihood from incomplete data via the EM algorithm[J].Journal of Royal Statistical Society B, 1977, 39(1):1-38.
[11] Haveliwala T H.Topic-sensitive pagerank[C]//Proc of the 11th International World Wide Web Conference.New York:ACM Press, 2002:517-526.
[12] Page Larry, Brin Sergey, Motwani R, et al.The PageRank citation ranking:bringing order to the web[R].California:Stanford Digital Library Technologies Project, 1998.
[13] Baeza-Yates R, Ribeiro-Neto B.Modern information retrieval[M].Beijing:China Machine Press, 2004:82-84.

Memo

Memo:

Biographies: Yu Fang(1981—), female, graduate;Wang Daling(corresponding author), female, doctor, professor, dlwang@mail.neu.edu.cn.

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