|
|
Mobile Query Expansion Based on Related Word Co-occurrence of Abstract and Log |
Zhang Yulian1 Liu Juan1 Qi Feng1 Zhou Xinglin 2 |
1(College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China)
2(Department of Computer Science, Shanghai Technical Institute of Electronics & Information,Shanghai 201411,China) |
|
|
Abstract Due to the hardware limitations of mobile terminal equipment and keywords submited by users,there are problems of word mismatch between short queries and query results. A mobile query expansion method based on related words co-occurrence strategy is proposed, which is called ALRCO.It utilizes the related words co-occurrence information in the abstract of documents and keywords in the query logs to evaluate quality of the expansion words, and selects the most appropriate expansion terms. The expansion words with the initial query have the better relevance to the characterization of the theme.Finally,experimental results show that ALRCO offers more accuracy compared with traditional query.
|
Received: 31 July 2009
Published: 25 October 2009
|
|
Corresponding Authors:
Liu Juan
E-mail: a16liu@126.com
|
About author:: Zhang Yulian ,Liu Juan,Qi Feng ,Zhou Xinglin |
[1] Masaya Murata, Hiroyuki Toda, Yumiko Matsuura,et al. Access Concentration Detection in Click Logs to Improve Mobile Web-IR[J]. Information Sciences: An International Journal,2009,179 (12): 1859-1869.
[2] Voorhees E M. The Effectiveness and Efficiency of Agglomerative Hierarchic Clustering in Document Retrieval [D]. Ithaca, NY, USA: Cornell University, 1986.
[3] Attar R, Fraenkel A S. Local Feedback in Full-text Retrieval Systems[J]. Journal of the ACM, 1977,24(3):397-417.
[4] Xu J,Croft W B. Query Expansion Using Local and Global Document Analysis[C]. In: Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.1996:4-11.
[5] Mitra M, Singhal A, Buckley C. Improving Automatic Query Expansion[C]. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Melbourne: ACM Press, 1998.
[6] 田萱,杜小勇,李海华.语义查询扩展中词语-概念相关度的计算[J].软件学报,2008,19(8):2043-2053.
[7] 崔航,文继荣,李敏强.基于用户日志的查询扩展统计模型[J].软件学报, 2003,14(9):1593-1599.
[8] Rocchio J. Relevance Feedback in Information Retrieval [A].// Salton G. The Smart Retrieval System—Experiments in Automatic Document Processing [M]. Upper Saddle River, NJ, USA: Prentice-Hall, 1971:313-323.
[9] 丁国栋,白硕,王斌.一种基于局部共现的查询扩展方法[J].中文信息学报,2006,20(3):118-127.
[10] Vinay V, Cox I J, Milic-Frayling N, et al.Can Constrained Relevance Feedback and Display Strategies Help Users Retrieve Items on Mobile Devices?[J] Information Retrieval, 2006,9(4):435-453. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|