Thu, 07 Aug 2008 21:51:51 BST CiteULike: codex's library [241 articles] http://www.citeulike.org/user/codex CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/codex/article/3065335 <i>(2008), pp. 1-10.</i> Personalized web exploration with task models Jae-Wook Ahn Peter Brusilovsky Daqing He Jonathan Grady Qi Li doi:10.1145/1367497.1367499 (2008), pp. 1-10. 2008-07-31T11:19:56-00:00 2008 1 10 ACM task_model user_model http://www.citeulike.org/user/codex/article/3025946 <i>(2005)</i><br /><br />This paper describes the UMass TREC 2005 Robust Track experiments. We focus on approaches that use term proximity and pseudo-relevance feedback using external collections. Our results indicate both approaches are highly e#ective. Umass robust 2005: Using mixture of relevance models for query expansion D Metzler F Diaz T Strohman W Croft (2005) 2008-07-22T01:33:17-00:00 2005 indri ir language_model query_construction http://www.citeulike.org/user/codex/article/1994584 <i>Computational Linguistics, Vol. 19, No. 2. (1994), pp. 263-311.</i><br /><br />this paper, we focus on the translation modeling problem. Before we turn to this problem, however, we should address an issue that may be a concern to some readers: Why do we estimate Pr(e) and Pr(fle) rather than estimate Pr(elf ) directly? We are really interested in this latter probability. Wouldn't we reduce our problems from three to two by this direct approach? If we can estimate Pr(fle) adequately, why can't we just turn the whole process around to estimate Pr(elf)? To understand this,... The Mathematic of Statistical Machine Translation: Parameter Estimation Peter Brown Stephen Della Pietra Vincent Della Pietra Robert Mercer Computational Linguistics, Vol. 19, No. 2. (1994), pp. 263-311. 2007-11-27T15:52:11-00:00 1994 Computational Linguistics 19 2 263 311 language_model translation http://www.citeulike.org/user/codex/article/558352 <i>(1999), pp. 222-229.</i> Information retrieval as statistical translation Adam Berger John Lafferty doi:10.1145/312624.312681 (1999), pp. 222-229. 2006-03-21T12:36:45-00:00 1999 222 229 ACM Press language_model translation http://www.citeulike.org/user/codex/article/2329676 <i>(1996), pp. 310-318.</i> An empirical study of smoothing techniques for language modeling Stanley Chen Joshua Goodman doi:10.3115/981863.981904 (1996), pp. 310-318. 2008-02-04T14:54:22-00:00 1996 310 318 Association for Computational Linguistics language_model smoothing http://www.citeulike.org/user/codex/article/1815220 <i>(2002), pp. 27-34.</i> The Importance of Prior Probabilities for Entry Page Search Wessel Kraaij Thijs Westerveld Djoerd Hiemstra doi:10.1145/564376.564383 (2002), pp. 27-34. 2007-10-24T12:12:40-00:00 2002 27 34 ACM Press document_prior ir language_model probabilistic_model http://www.citeulike.org/user/codex/article/2927463 <i>(2007)</i> Indri at TREC 2007: Million Query (1MQ) Track Xing Yi James Allan (2007) 2008-06-25T20:51:49-00:00 2007 dependence_model ir term_dependency http://www.citeulike.org/user/codex/article/2927459 <i>(2005)</i> Indri at TREC 2005: Terabyte Track D Metzler T Strohman Y Zhou WB Croft (2005) 2008-06-25T20:49:10-00:00 2005 dependence_model ir term_dependency http://www.citeulike.org/user/codex/article/800997 <i>(2005), pp. 472-479.</i> A Markov random field model for term dependencies Donald Metzler Bruce Croft doi:10.1145/1076034.1076115 (2005), pp. 472-479. 2006-08-14T15:47:05-00:00 2005 472 479 ACM Press dependence_model ir term_dependency http://www.citeulike.org/user/codex/article/2926431 <i>(June 2008)</i> Anatomy of a visualization on-demand server Romain Vuillemot Béatrice Rumpler Jean-Marie Pinon (June 2008) 2008-06-25T17:21:51-00:00 2008 google_earth visualization http://www.citeulike.org/user/codex/article/2733029 <i>(2008), pp. 1037-1040.</i> Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard Bongwon Suh Ed Chi Aniket Kittur Bryan Pendleton doi:10.1145/1357054.1357214 (2008), pp. 1037-1040. 2008-04-29T09:12:17-00:00 2008 1037 1040 ACM visualization wikipedia http://www.citeulike.org/user/codex/article/2883630 <i>ACM Trans. Inf. Syst., Vol. 17, No. 4. (October 1999), pp. 367-405.</i> PIC matrices: a computationally tractable class of probabilistic query operators Warren Greiff Bruce Croft Howard Turtle doi:10.1145/326440.326444 ACM Trans. Inf. Syst., Vol. 17, No. 4. (October 1999), pp. 367-405. 2008-06-11T19:28:12-00:00 1999 ACM Trans. Inf. Syst. 1046-8188 17 4 367 405 ACM ir probabilistic_model http://www.citeulike.org/user/codex/article/1074621 <i>User Modeling and User-Adapted Interaction, Vol. 14, No. 2-3. (2004), pp. 159-200.</i> Anatomy and Empirical Evaluation of an Adaptive Web-Based Information Filtering System Alessandro Micarelli Filippo Sciarrone doi:10.1023/B:USER.0000028981.43614.94 User Modeling and User-Adapted Interaction, Vol. 14, No. 2-3. (2004), pp. 159-200. 2007-01-29T16:10:42-00:00 2004 User Modeling and User-Adapted Interaction 0924-1868 14 2-3 159 200 Kluwer Academic Publishers semantic_network user_model http://www.citeulike.org/user/codex/article/2537899 <i>Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on, Vol. 1 (1998), pp. 183-188 vol.1.</i><br /><br />Personalized information systems represent the recent effort of delivering information to users more effectively in the modern electronic age. This paper illustrates how a supervised adaptive resonance theory (ART) system, called fuzzy ARAM (adaptive resonance associative map), can be used to learn user profiles for personalized information dissemination. ARAM learning is online, fast, and incremental. Acquisition of new knowledge does not require re-training on previously learned cases. ARAM integrates both user-defined and system-learned knowledge in a single framework. Therefore inconsistency between the two knowledge sources will not arise. ARAM has been used to develop a personalized news system (PIN). Preliminary experiments have verified that PIN is able to provide personalized news by adapting to user's interests in an online manner and generalizing them to new information on-the-fly Learning user profiles for personalized information dissemination Ah-Hwee Tan C Teo doi:10.1109/IJCNN.1998.682259 Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on, Vol. 1 (1998), pp. 183-188 vol.1. 2008-03-15T21:54:29-00:00 1998 Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on 1 183 188 vol.1 semantic_network user_model http://www.citeulike.org/user/codex/article/2752882 <i>(2008), pp. 111-120.</i> Usability evaluation considered harmful (some of the time) Saul Greenberg Bill Buxton doi:10.1145/1357054.1357074 (2008), pp. 111-120. 2008-05-04T05:22:25-00:00 2008 111 120 ACM usability http://www.citeulike.org/user/codex/article/776870 <i>(2005), pp. 43-50.</i> Context-sensitive information retrieval using implicit feedback Xuehua Shen Bin Tan Chengxiang Zhai doi:10.1145/1076034.1076045 (2005), pp. 43-50. 2006-07-28T02:03:02-00:00 2005 43 50 ACM Press _gaia_ ir relevance_feedback http://www.citeulike.org/user/codex/article/1139570 <i></i><br /><br />Information retrieval systems are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users; information about the actual user and search context is largely ignored. For example, a tourist and a programmer may use the same word "java" to search for different information, but the current retrieval systems would return the same results. User-Centered Adaptive Information Retrieval Xuehua Shen 2007-03-04T10:26:12-00:00 adaptive_search _gaia_ ir http://www.citeulike.org/user/codex/article/2187446 <i>(2001)</i><br /><br />Many approaches to personalization involve learning short-term and long-term user models. The user models provide context for queries and other interactions with the information system. In this paper, we discuss how language models can be used to represent context and support context-based techniques such as relevance feedback and query disambiguation. Relevance Feedback and Personalization: A Language Modeling Perspective Bruce Croft Stephen Cronen-Townsend Victor Lavrenko (2001) 2008-01-02T08:58:32-00:00 2001 _gaia_ ir language_model relevance_feedback http://www.citeulike.org/user/codex/article/912092 <i>(2001), pp. 120-127.</i> Relevance based language models Victor Lavrenko Bruce Croft doi:10.1145/383952.383972 (2001), pp. 120-127. 2006-10-25T01:13:41-00:00 2001 120 127 ACM Press _gaia_ ir language_model relevance http://www.citeulike.org/user/codex/article/1109254 <i>ACM Trans. Inf. Syst., Vol. 20, No. 4. (October 2002), pp. 422-446.</i> Cumulated gain-based evaluation of IR techniques Kalervo J&\#228;rvelin Jaana Kek&\#228;l&\#228;inen doi:10.1145/582415.582418 ACM Trans. Inf. Syst., Vol. 20, No. 4. (October 2002), pp. 422-446. 2007-02-16T02:41:55-00:00 2002 ACM Trans. Inf. Syst. 1046-8188 20 4 422 446 ACM Press evluation ir ndcg http://www.citeulike.org/user/codex/article/1937870 <i>(2007), pp. 31-38.</i> Utility-based information distillation over temporally sequenced documents Yiming Yang Abhimanyu Lad Ni Lao Abhay Harpale Bryan Kisiel Monica Rogati doi:10.1145/1277741.1277750 (2007), pp. 31-38. 2007-11-19T12:07:07-00:00 2007 31 38 ACM cafe gale ir http://www.citeulike.org/user/codex/article/2716961 <i>Conceptual Modeling - ER 2006 (2006), pp. 168-181.</i><br /><br />Event detection is a very important area of research that discovers new events reported in a stream of text documents. Previous research in event detection has largely focused on finding the first story and tracking the events of a specific topic. A topic is simply a set of related events defined by user supplied keywords with no associated semantics and little domain knowledge. We therefore introduce the Anticipatory Event Detection (AED) problem: given some user preferred event transition in a topic, detect the occurence of the transition for the stream of news covering the topic. We confine the events to come from the same application domain, in particular, mergers and acquisitions. Our experiments showed that classical cosine similarity method fails for the AED task, whereas our conceptual model-based approach, through the use of domain knowledge and named entity type assignments, seems promising. We show experimentally that an AED voting classifier operating on a vector representation with name entities replaced by types performed AED successfully. A Model for Anticipatory Event Detection Qi He Kuiyu Chang Ee-Peng Lim doi:10.1007/11901181_14 Conceptual Modeling - ER 2006 (2006), pp. 168-181. 2008-04-25T07:40:28-00:00 2006 Conceptual Modeling - ER 2006 168 181 tdt http://www.citeulike.org/user/codex/article/2658746 <i>(1998), pp. 64-71.</i> Resolving ambiguity for cross-language retrieval Lisa Ballesteros Bruce Croft doi:10.1145/290941.290958 (1998), pp. 64-71. 2008-04-11T19:53:53-00:00 1998 64 71 ACM clir cooccurrence _gaia_ ir http://www.citeulike.org/user/codex/article/2658742 <i>(2003), pp. 181-188.</i> Evaluating the evaluation: a case study using the TREC 2002 question answering track Ellen Voorhees doi:10.3115/1073445.1073479 (2003), pp. 181-188. 2008-04-11T19:52:00-00:00 2003 181 188 Association for Computational Linguistics evaluation _gaia_ ir http://www.citeulike.org/user/codex/article/2658739 <i>(2007), pp. 31-40.</i> Csurf: a context-driven non-visual web-browser Jalal Mahmud Yevgen Borodin IV Ramakrishnan doi:10.1145/1242572.1242578 (2007), pp. 31-40. 2008-04-11T19:49:41-00:00 2007 31 40 ACM web_cleaning http://www.citeulike.org/user/codex/article/100364 <i>(2004), pp. 109-116.</i> The challenge of information visualization evaluation Catherine Plaisant doi:10.1145/989863.989880 (2004), pp. 109-116. 2005-02-22T22:19:19-00:00 2004 109 116 ACM Press evaluation _lsv_ visualization http://www.citeulike.org/user/codex/article/2638536 <i>(September 2007)</i> Beyond Bags of Words: Effectively Modeling Dependence and Features in Information Retrieval Donald Metzler (September 2007) 2008-04-07T19:07:38-00:00 2007 ir http://www.citeulike.org/user/codex/article/2638532 <i>(2006)</i> Indri at TREC 2005: Terabyte Track Donald Metzler Trevor Strohman Yun Zhou Bruce Croft (2006) 2008-04-07T19:06:06-00:00 2006 indri ir language_model query_construction http://www.citeulike.org/user/codex/article/2638528 <i>(2006)</i> Indri at TREC 2006: Lessons Learned From Three Terabyte Tracks Donald Metzler Trevor Strohman Bruce Croft (2006) 2008-04-07T19:04:23-00:00 2006 indri ir language_model query_construction http://www.citeulike.org/user/codex/article/2638524 <i>(2005)</i> Indri at TREC 2004: Terabyte Track Donald Metzler Trevor Strohman Howard Turtle Bruce Croft (2005) 2008-04-07T19:01:24-00:00 2005 indri ir language_model query_construction http://www.citeulike.org/user/codex/article/2407968 <i>J. Am. Soc. Inf. Sci. Technol., Vol. 54, No. 8. (June 2003), pp. 713-729.</i> Efficient single-pass index construction for text databases Steffen Heinz Justin Zobel doi:10.1002/asi.10268 J. Am. Soc. Inf. Sci. Technol., Vol. 54, No. 8. (June 2003), pp. 713-729. 2008-02-21T15:42:42-00:00 2003 J. Am. Soc. Inf. Sci. Technol. 1532-2882 54 8 713 729 John Wiley & Sons, Inc. indexing ir http://www.citeulike.org/user/codex/article/2638508 <i>ACM Trans. Inf. Syst., Vol. 18, No. 1. (January 2000), pp. 44-78.</i> Shortest-substring retrieval and ranking Charles Clarke Gordon Cormack doi:10.1145/333135.333137 ACM Trans. Inf. Syst., Vol. 18, No. 1. (January 2000), pp. 44-78. 2008-04-07T18:52:18-00:00 2000 ACM Trans. Inf. Syst. 1046-8188 18 1 44 78 ACM ir phrase_expansion query_expansion http://www.citeulike.org/user/codex/article/2200936 <i>Information Processing & Management, Vol. 31, No. 6. (November 1995), pp. 831-850.</i><br /><br />This paper discusses the two major query evaluation strategies used in large text retrieval systems and analyzes the performance of these strategies. We then discuss several optimization techniques that can be used to reduce evaluation costs and present simulation results to compare the performance of these optimization techniques when evaluating natural language queries with a collection of full text legal materials. Query evaluation: Strategies and optimizations Howard Turtle James Flood doi:10.1016/0306-4573(95)00020-H Information Processing & Management, Vol. 31, No. 6. (November 1995), pp. 831-850. 2008-01-06T21:20:10-00:00 1995 Information Processing & Management 31 6 831 850 ir query_optimization http://www.citeulike.org/user/codex/article/1314035 <i>ACM Trans. Inf. Syst., Vol. 22, No. 2. (April 2004), pp. 179-214.</i> A study of smoothing methods for language models applied to information retrieval Chengxiang Zhai John Lafferty doi:10.1145/984321.984322 ACM Trans. Inf. Syst., Vol. 22, No. 2. (April 2004), pp. 179-214. 2007-05-20T22:39:52-00:00 2004 ACM Trans. Inf. Syst. 1046-8188 22 2 179 214 ACM Press ir language_model http://www.citeulike.org/user/codex/article/104767 <i>ACM Trans. Inf. Syst., Vol. 9, No. 3. (July 1991), pp. 187-222.</i> Evaluation of an inference network-based retrieval model Howard Turtle Bruce Croft doi:10.1145/125187.125188 ACM Trans. Inf. Syst., Vol. 9, No. 3. (July 1991), pp. 187-222. 2005-02-26T16:00:38-00:00 1991 ACM Trans. Inf. Syst. 1046-8188 9 3 187 222 ACM Press inference_network ir probabilistic_model http://www.citeulike.org/user/codex/article/2630551 <i>Communication and Cognition, Vol. 15, No. 1-2. (1998), pp. 81-112.</i><br /><br />: The rapid proliferation of textual and multimedia online databases, digital libraries, Internet servers, and intranet services has turned researchers' and practitioners' dream of creating an information-rich society into a nightmare of info-gluts. Many researchers believe that turning an info-glut into a useful digital library requires automated techniques for organizing and categorizing large-scale information. This paper presents research in which we sought to develop a scaleable textual... A Scalable Self-organizing Map Algorithm for Textual Classification: A Neural Network Approach to Thesaurus Generation Dmitri Roussinov Hsinchun Chen Communication and Cognition, Vol. 15, No. 1-2. (1998), pp. 81-112. 2008-04-04T20:36:43-00:00 1998 Communication and Cognition 15 1-2 81 112 som taxonomy thesaurus visualization http://www.citeulike.org/user/codex/article/2630518 <i>(1998), pp. 55-63.</i> The effects of query structure and dictionary setups in dictionary-based cross-language information retrieval Ari Pirkola doi:10.1145/290941.290957 (1998), pp. 55-63. 2008-04-04T20:26:04-00:00 1998 55 63 ACM clir _gaia_ inquery ir structured_query http://www.citeulike.org/user/codex/article/2399300 <i>(2003), pp. 338-344.</i> Probabilistic structured query methods Kareem Darwish Douglas Oard doi:10.1145/860435.860497 (2003), pp. 338-344. 2008-02-19T15:52:30-00:00 2003 338 344 ACM clir _gaia_ ir structured_query http://www.citeulike.org/user/codex/article/104193 <i>(2001), pp. 33-40.</i> Evaluating document clustering for interactive information retrieval Anton Leuski doi:10.1145/502585.502592 (2001), pp. 33-40. 2005-02-25T16:56:05-00:00 2001 33 40 ACM Press clustering ir http://www.citeulike.org/user/codex/article/2618458 <i>User Modeling and User-Adapted Interaction, Vol. 14, No. 2-3. (2004), pp. 259-288.</i> Interactive Information Retrieval Using Clustering and Spatial Proximity Anton Leuski James Allan doi:10.1023/B:USER.0000028978.09823.47 User Modeling and User-Adapted Interaction, Vol. 14, No. 2-3. (2004), pp. 259-288. 2008-04-01T03:36:00-00:00 2004 User Modeling and User-Adapted Interaction 0924-1868 14 2-3 259 288 Kluwer Academic Publishers lighthouse visualization http://www.citeulike.org/user/codex/article/1047096 <i>(1994), pp. 313-317.</i> Visual information seeking: tight coupling of dynamic query filters with starfield displays Christopher Ahlberg Ben Shneiderman doi:10.1145/191666.191775 (1994), pp. 313-317. 2007-01-17T21:10:17-00:00 1994 313 317 ACM Press _lsv_ similarity_based visualization http://www.citeulike.org/user/codex/article/1093808 <i>(2004), pp. 540-541.</i> Formal multiple-bernoulli models for language modeling Donald Metzler Victor Lavrenko Bruce Croft doi:10.1145/1008992.1009110 (2004), pp. 540-541. 2007-02-07T22:15:24-00:00 2004 540 541 ACM Press indri ir language_model http://www.citeulike.org/user/codex/article/2609412 <i>(2001)</i><br /><br />This paper presents a framework for modeling the content of information objects such as documents and video programs based on observation of how users interact with those objects in the course of information seeking and use. Four categories of potentially observable user behaviors are identified: examination, retention, reference, and annotation. The framework draws together techniques from the information filtering, Web searching and citation indexing, and identifies the natural scope (portion ... Modeling information content using observable behavior D Oard J Kim (2001) 2008-03-28T20:38:39-00:00 2001 implicit_feedback ir relevance_feedback http://www.citeulike.org/user/codex/article/1190738 <i>(2005), pp. 35-42.</i> A study of factors affecting the utility of implicit relevance feedback Ryen White Ian Ruthven Joemon Jose doi:10.1145/1076034.1076044 (2005), pp. 35-42. 2007-03-28T04:24:08-00:00 2005 35 42 ACM Press gaia implicit_feedback ir relevance_feedback http://www.citeulike.org/user/codex/article/397741 <i>Journal of the American Society for Information Science and Technology, Vol. 54, No. 6. (25 February 2003), pp. 529-549.</i><br /><br />In this paper, we present five user experiments on incorporating behavioral information into the relevance feedback process. In particular, we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query. Our experiments are an attempt to widen the evidence used for relevance feedback from simply the relevant documents to include information on how users are searching. We show that this information can lead to more successful relevance feedback techniques. We also show that the presentation of relevance feedback to the user is important in the success of relevance feedback. Incorporating user search behavior into relevance feedback Ian Ruthven Mounia Lalmas Keith van Rijsbergen doi:10.1002/asi.10240 Journal of the American Society for Information Science and Technology, Vol. 54, No. 6. (25 February 2003), pp. 529-549. 2005-11-17T00:59:08-00:00 2003 Journal of the American Society for Information Science and Technology 1532-2890 54 6 529 549 gaia ir relevance_feedback http://www.citeulike.org/user/codex/article/3190 <i>Information Processing & Management, Vol. 36, No. 2. (01 March 2000), pp. 207-227.</i><br /><br />We analyzed transaction logs containing 51,473 queries posed by 18,113 users of Excite, a major Internet search service. We provide data on: (i) sessions -- changes in queries during a session, number of pages viewed, and use of relevance feedback; (ii) queries -- the number of search terms, and the use of logic and modifiers; and (iii) terms -- their rank/frequency distribution and the most highly used search terms. We then shift the focus of analysis from the query to the user to gain insight to the characteristics of the Web user. With these characteristics as a basis, we then conducted a failure analysis, identifying trends among user mistakes. We conclude with a summary of findings and a discussion of the implications of these findings. Real life, real users, and real needs: a study and analysis of user queries on the web Bernard Jansen Amanda Spink Tefko Saracevic doi:10.1016/S0306-4573(99)00056-4 Information Processing & Management, Vol. 36, No. 2. (01 March 2000), pp. 207-227. 2004-12-09T14:40:35-00:00 2000 Information Processing & Management 36 2 207 227 ir user_behavior http://www.citeulike.org/user/codex/article/2521939 <i>Inf. Process. Manage., Vol. 44, No. 2. (March 2008), pp. 511-533.</i> An evaluation of adaptive filtering in the context of realistic task-based information exploration Daqing He Peter Brusilovsky Jaewook Ahn Jonathan Grady Rosta Farzan Yefei Peng Yiming Yang Monica Rogati doi:10.1016/j.ipm.2007.07.009 Inf. Process. Manage., Vol. 44, No. 2. (March 2008), pp. 511-533. 2008-03-12T17:25:14-00:00 2008 Inf. Process. Manage. 0306-4573 44 2 511 533 Pergamon Press, Inc. adaptive_filtering adaptive_systems http://www.citeulike.org/user/codex/article/1286328 <i>(2007), pp. 11-20.</i> Open user profiles for adaptive news systems: help or harm? Jae-Wook Ahn Peter Brusilovsky Jonathan Grady Daqing He Sue Syn doi:10.1145/1242572.1242575 (2007), pp. 11-20. 2007-05-09T20:04:07-00:00 2007 11 20 ACM Press user_model http://www.citeulike.org/user/codex/article/2599800 <i>Web Intelligence, IEEE/WIC/ACM International Conference on (2007), pp. 706-712.</i><br /><br />Adaptive information filtering is a promising tool for both casual Web news readers and professional intelligence analysts. Adaptive filtering augments the traditional query- or profile-based rankings provided by search engines. An interesting research challenge in this context is to offer users more control over the rankings by letting them mediate between the two extremes -- query- and profile-based rankings. To address this challenge, we developed an adaptive relevance-based visual exploration tool based on the VIBE (Visual Information Browsing Environment) visualization approach, which was previously developed at our School. This paper presents the rationale and functionality of this visual exploration tool and reports the results of its preliminary evaluation. From User Query to User Model and Back: Adaptive Relevance-Based Visualization for Information Foraging Jae-Wook Ahn Peter Brusilovsky doi:10.1109/WI.2007.4427177 Web Intelligence, IEEE/WIC/ACM International Conference on (2007), pp. 706-712. 2008-03-26T21:24:18-00:00 2007 Web Intelligence, IEEE/WIC/ACM International Conference on 706 712 user_model vibe visualization http://www.citeulike.org/user/codex/article/2573287 <i>AI & Society, Vol. 20, No. 4. (2006), pp. 526-538.</i><br /><br />Abstract  Processing is a programming language and environment built for the media arts communities. It is created to teach fundamentals of computer programming within the media arts context and to serve as a software sketchbook. It is used by students, artists, designers, architects, and researchers for learning, prototyping, and production. This essay discusses the ideas underlying the software and presents its relationship to open source software and the idea of software literacy. Additionally, Processing is discussed in relation to education and online communities. Processing: programming for the media arts Casey Reas Ben Fry doi:10.1007/s00146-006-0050-9 AI & Society, Vol. 20, No. 4. (2006), pp. 526-538. 2008-03-22T22:37:43-00:00 2006 AI & Society 20 4 526 538 _lsv_ toolkit visualization