Assisting web document retrieval with topic identification in tourism domain-Reference-Cited by-同舟云学术

Assisting web document retrieval with topic identification in tourism domain

Published:2015-04-29 Issue:1 Volume:13 Page:31-41
ISSN:2405-6464
Container-title:Web Intelligence
language:
Short-container-title:WEB

Author:

Prasath Rajendra¹,Kumar Vijai²,Sarkar Sudeshna¹

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur - 721 302, India. E-mails: rajendra@cse.iitkgp.ernet.in, sudeshna@cse.iitkgp.ernet.in

2. Cisco Systems, inc., Bangalore, India. E-mail: viz.kec2009@gmail.com

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference24 articles.

1. [1] S.M. Beitzel, E.C. Jensen, O. Frieder, D. Grossman, D.D. Lewis, A. Chowdhury and A. Kolcz, Automatic web query classification using labeled and unlabeled training data, in: Proc. of the 28th ACM SIGIR Conference on Research and Development in IR, SIGIR ’05, ACM, New York, NY, USA, 2005, pp. 581–582.

2. [2] D. Carmel, E. Yom-Tov, A. Darlow and D. Pelleg, What makes a query difficult? in: Proc. of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’06, ACM, New York, NY, USA, 2006, pp. 390–397.

3. [3] W.W. Cohen and Y. Singer, Context-sensitive learning methods for text categorization, in: Proc. of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’96, ACM, New York, NY, USA, 1996, pp. 307–315.

4. [4] H. Cui, J.-R. Wen, J.-Y. Nie and W.-Y. Ma, Probabilistic queryexpansion using query logs, in: Proc. of the 11th International Conference on World Wide Web, WWW ’02, ACM, New York, NY,USA, 2002, pp. 325–332.

5. Topic identification based on document coherence and spectral analysis;D’hondt;Information Sciences,2011

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient Approach to Retrieve Information for Desktop Search Engine;Intelligent Computing and Applications;2022-11-14

2. Identification of Semantic Focal Groups for Tourist Packages Based on The Semantic Orientation of Opinions;New Advances in Information Systems and Technologies;2016