CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
Syntactic clustering of the Web
Selected papers from the sixth international conference on World Wide Web
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Efficient clustering of high-dimensional data sets with application to reference matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating strategies for similarity search on the web
Proceedings of the 11th international conference on World Wide Web
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Subspace clustering for high dimensional data: a review
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Object-level ranking: bringing order to Web objects
WWW '05 Proceedings of the 14th international conference on World Wide Web
Ranking objects based on relationships
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Pseudo-anchor text extraction for searching vertical objects
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Towards multi-paper summarization reference information
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A trigram hidden Markov model for metadata extraction from heterogeneous references
Information Sciences: an International Journal
| Hi-index | 0.00 |
Anchor text plays a special important role in improving the performance of general Web search, due to the fact that it is relatively objective description for a Web page by potentially a large number of other Web pages. Academic Search provides indexing and search functionality for academic articles. It may be desirable to utilize anchor text in academic search as well to improve the search results quality. The main challenge here is that no explicit URLs and anchor text is available for academic articles. In this paper we define and automatically assign a pseudo-URL for each academic article. And a machine learning approach is adopted to extract pseudo-anchor text for academic articles, by exploiting the citation relationship between them. The extracted pseudo-anchor text is then indexed and involved in the relevance score computation of academic articles. Experiments conducted on 0.9 million research papers show that our approach is able to dramatically improve search performance.