Sat, 26 Jul 2008 13:44:37 BST CiteULike: sharon_hsiaos Bao http://www.citeulike.org/user/sharon_hsiao/author/Bao CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/sharon_hsiao/article/1725981 <i>Advances in Knowledge Discovery and Data Mining (2007), pp. 1015-1021.</i><br /><br />In the paper, we present an exploration of using social annotations provided by the Web 2.0 sites (such as Del.icio.us) in helping web search. More specifically, we consider using the social annotations as an additional resource to strengthen existing smoothing methods for the language model for IR. The social annotations can benefit the smoothing of language model in two aspects: 1) the annotations themselves can serve as the summaries of the web pages given by the users; 2) the annotations can be seen as the links of the web pages sharing the same annotations. We propose three smoothing methods, addressing the two aspects and their combination, respectively. We call the new language model of using the proposed smoothing methods ’Language Annotation Model (LAM). Preliminary experimental results show that LAM significantly outperforms the traditional language models. Using Social Annotations to Smooth the Language Model for IR Shengliang Xu Shenghua Bao Yong Yu Yunbo Cao doi:10.1007/978-3-540-71701-0_114 Advances in Knowledge Discovery and Data Mining (2007), pp. 1015-1021. 2007-10-04T06:20:21-00:00 2007 Advances in Knowledge Discovery and Data Mining 1015 1021 annotation ir social http://www.citeulike.org/user/sharon_hsiao/article/1705692 <i>(2007), pp. 943-952.</i> Towards effective browsing of large scale social annotations Rui Li Shenghua Bao Yong Yu Ben Fei Zhong Su doi:10.1145/1242572.1242700 (2007), pp. 943-952. 2007-09-28T17:00:12-00:00 2007 943 952 ACM Press annotation http://www.citeulike.org/user/sharon_hsiao/article/1288940 <i>(2007), pp. 501-510.</i> Optimizing web search using social annotations Shenghua Bao Guirong Xue Xiaoyuan Wu Yong Yu Ben Fei Zhong Su doi:10.1145/1242572.1242640 (2007), pp. 501-510. 2007-05-10T22:36:45-00:00 2007 501 510 ACM Press annotation