@inproceedings{bbc3c9a805ea479589aa57039d073d20,
title = "Search results optimization method combined with multi-features",
abstract = "The optimization of search results has always been the research hotspot in the area of search engine. More concretely, topic partition by clustering proved to be a good way. However, the clusters, some of which still contain a lot of documents, implicitly limit the users' retrieval speed. Meanwhile we find that the information of documents' features have good effects on the document ranking. To address the issue, we try to apply the multi-features to search results after the process of clustering. Statistic and semantic information of the multi-features are fully used to re-rank the documents. Related experiments show that our approach outperforms that of single clustering much. The evaluation indicators' rising shows that the Top N results satisfy the users' need more.",
keywords = "Hownet, clustering, multi-features, re-ranking, semantic, statistic",
author = "Yanxia Qin and Dequan Zheng and Bing Xu",
year = "2011",
doi = "10.1109/FSKD.2011.6019649",
language = "英语",
isbn = "9781612841816",
series = "Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011",
pages = "1167--1171",
booktitle = "Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011",
note = "2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11 ; Conference date: 26-07-2011 Through 28-07-2011",
}