A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
A general language model for information retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Title language model for information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling framework for resource selection and results merging
Proceedings of the eleventh international conference on Information and knowledge management
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
WWW '03 Proceedings of the 12th international conference on World Wide Web
Log Mining to Improve the Performance of Site Search
WISEW '02 Proceedings of the Third International Conference on Web Information Systems Engineering (Workshops) - (WISEw'02)
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Proceedings of the 13th international conference on World Wide Web
Mining anchor text for query refinement
Proceedings of the 13th international conference on World Wide Web
Learning effective ranking functions for newsgroup search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Mining bulletin board systems using community generation
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Hi-index | 0.00 |
Bulletin Board Systems (BBS), similar to blogs, newsgroups, online forums, etc., are online broadcasting spaces where people can exchange ideas and make announcements. As BBS are becoming valuable repositories of knowledge and information, effective BBS search engines are required to make the information universally accessible and useful. However, the techniques that have been proven successful for web search are not suitable for searching BBS articles due to the nature of BBS. In this paper, we propose a novel article language model (LM) to build an effective BBS search engine. We investigate the differences between BBS articles and web pages, then extend the traditional LM to author LM and category LM. The article LM is powerful in the sense that it can combine the three LMs into a single framework. Experimental results shows that our article LM substantially outperforms both INQUERY algorithm and the traditional LM.