Sun, 27 Jul 2008 07:11:45 BST CiteULike: Group: Adaptive-Web - with tag ir http://www.citeulike.org/group/2118/tag/ir CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/group/2118/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/group/2118/article/2091412 <i>DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries (2001)</i> Relevance feedback and personalization: A language modeling perspective WB Ponte SC Townsend V Larvrenko DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries (2001) 2007-12-11T20:32:23-00:00 2001 DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries ir language_model personalization relevance_feedback http://www.citeulike.org/group/2118/article/1353784 <i>(1999), pp. 206-213.</i><br /><br />This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering techniques. Instead, salient words and phrases extracted from the documents are organized hierarchically using a type of co-occurrence known as subsumption. The resulting structure is displayed as a series of hierarchical menus. When generated from a set of retrieved documents, a user browsing the menus is provided with a... Deriving Concept Hierarchies from Text Mark Sanderson Bruce Croft (1999), pp. 206-213. 2007-06-01T02:50:27-00:00 1999 206 213 ir wsd http://www.citeulike.org/group/2118/article/1222459 <i>(1999)</i><br /><br />In this work, we use a large text corpus to order nouns by their level of specificity. This semantic information can for most nouns be determined with over 80% accuracy using simple statistics from a text corpus without using any additional sources of semantic knowledge. This kind of semantic information can be used to help in automatically constructing or augmenting a lexical database such as WordNet. Determining the specificity of nouns from text S Caraballo E Charniak (1999) 2007-04-12T15:56:51-00:00 1999 ir wsd http://www.citeulike.org/group/2118/article/270732 <i>Commun. ACM, Vol. 18, No. 11. (November 1975), pp. 613-620.</i> A vector space model for automatic indexing G Salton A Wong CS Yang doi:10.1145/361219.361220 Commun. ACM, Vol. 18, No. 11. (November 1975), pp. 613-620. 2005-08-01T11:57:21-00:00 1975 Commun. ACM 0001-0782 18 11 613 620 ACM Press ir http://www.citeulike.org/group/2118/article/105087 <i>(2003), pp. 72-79.</i> Stuff I've seen: a system for personal information retrieval and re-use Susan Dumais Edward Cutrell J Cadiz Gavin Jancke Raman Sarin Daniel Robbins doi:10.1145/860435.860451 (2003), pp. 72-79. 2005-02-26T20:46:41-00:00 2003 72 79 ACM Press ir ne pim http://www.citeulike.org/group/2118/article/1152016 <i>(1994), pp. 249-259.</i> LyberWorld - a visualization user interface supporting fulltext retrieval Matthias Hemmje Clemens Kunkel Alexander Willett (1994), pp. 249-259. 2007-03-09T22:11:32-00:00 1994 249 259 Springer-Verlag New York, Inc. ir visualization http://www.citeulike.org/group/2118/article/1152007 <i>(1991), pp. 262-269.</i> A self-organizing semantic map for information retrieval Xia Lin Dagobert Soergel Gary Marchionini doi:10.1145/122860.122887 (1991), pp. 262-269. 2007-03-09T21:53:07-00:00 1991 262 269 ACM Press ir som visualization http://www.citeulike.org/group/2118/article/1152000 <i>Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation'., 1997 IEEE International Conference on, Vol. 2 (1997), pp. 1680-1685 vol.2.</i><br /><br />Full-featured visual interfaces that assist in performing the tasks of information retrieval are widely distributed. The proliferation of sources of information on the Internet and the fact that these resources are large and poorly structured led us to propose that adapting some of the tools that have already been developed for browsing and organizing information spaces might be worthwhile Why information retrieval visualizations sometimes fail EL Morse M Lewis Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation'., 1997 IEEE International Conference on, Vol. 2 (1997), pp. 1680-1685 vol.2. 2007-03-09T21:44:44-00:00 1997 Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation'., 1997 IEEE International Conference on 2 1680 1685 vol.2 ir vibe visualization http://www.citeulike.org/group/2118/article/1110837 <i>(2006), pp. 129-137.</i> Contextual relevance feedback David Harper Diane Kelly doi:10.1145/1164820.1164847 (2006), pp. 129-137. 2007-02-18T00:06:29-00:00 2006 129 137 ACM Press interface ir relevance_feedback