%0 Conference Paper %1 citeulike:13839839 %A Gou, Liang %A Chen, Hung H. %A Kim, Jung H. %A Zhang, Xiaolong L. %A Giles, C. Lee %B Proceedings of the 19th International Conference on World Wide Web %C New York, NY, USA %D 2010 %I ACM %K recommender, social-network %P 1103--1104 %R 10.1145/1772690.1772825 %T SNDocRank: Document Ranking Based on Social Networks %U http://dx.doi.org/10.1145/1772690.1772825 %X 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. %@ 978-1-60558-799-8

@inproceedings{citeulike:13839839, abstract = {{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.}}, added-at = {2017-11-15T17:02:25.000+0100}, address = {New York, NY, USA}, author = {Gou, Liang and Chen, Hung H. and Kim, Jung H. and Zhang, Xiaolong L. and Giles, C. Lee}, biburl = {https://www.bibsonomy.org/bibtex/2578805125a8493fdb296a5d7ed924565/brusilovsky}, booktitle = {Proceedings of the 19th International Conference on World Wide Web}, citeulike-article-id = {13839839}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1772825}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1772690.1772825}, doi = {10.1145/1772690.1772825}, interhash = {cab17ccb608047f435a17ac08eb2dc50}, intrahash = {578805125a8493fdb296a5d7ed924565}, isbn = {978-1-60558-799-8}, keywords = {recommender, social-network}, location = {Raleigh, North Carolina, USA}, pages = {1103--1104}, posted-at = {2015-11-17 04:40:50}, priority = {2}, publisher = {ACM}, series = {WWW '10}, timestamp = {2017-11-15T17:02:25.000+0100}, title = {{SNDocRank: Document Ranking Based on Social Networks}}, url = {http://dx.doi.org/10.1145/1772690.1772825}, year = 2010 }