SNDocRank: Document ranking based on social networks

Liang Gou, Hung Hsuan Chen, Jung Hyun Kim, Xiaolong Zhang, C. Lee Giles

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents and the similarity between a searcher and document owners in a social network and uses a Multi-level Actor Similarity (MAS) algorithm to efficiently calculate user similarity in a social network. Our experiment results based on YouTube data show that compared with the tf-idf algorithm, the SNDocRank method returns more relevant documents of interest. Our findings suggest that in this framework, a searcher can improve search by joining larger social networks, having more friends, and connecting larger local communities in a social network.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 19th International Conference on World Wide Web, WWW '10
頁面1103-1104
頁數2
DOIs
出版狀態已出版 - 2010
事件19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
持續時間: 26 4月 201030 4月 2010

出版系列

名字Proceedings of the 19th International Conference on World Wide Web, WWW '10

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???event.eventtypes.event.conference???19th International World Wide Web Conference, WWW2010
國家/地區United States
城市Raleigh, NC
期間26/04/1030/04/10

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