Related Work in Adaptive Personalized Web

Conferences (Conferences in CS)

• Intl. Conf. on Intelligent User Interfaces (IUI) [CFP: ~Sep]
• Intl. Conf. on User Modeling (UM) [CFP: ~Nov]
• WWW Conf [CFP: ~Nov]
• Conference on Human Factors in Computing Systems (CHI) [CFP: ~Sep]
• ACM Conf. on Univerfsal Usability (CUU) [CFP: ~May]
• Conf. on Hypertext and Hypermultimedia [CFP: ~Feb]
• ACM/IEEE Joint Conf. on Digital Libraries [CFP: ~Jan]
• ACM Intl Symp. on Information Retrieval [CFP: ~Jan]

Journals (Journals in CS)

• User Modeling and User-Adapted Interaction (UMUAI)
• World Wide Web
• ACM Transactions on Internet Technology
• IEEE Internet Computing

Projects

• Group Lens, UMASS
• AdaptiveInfo

Papers

• --------------------2009--------------------
• Mining Social Networks for Personalized Email Prioritization. S. Yoo, Y. Yang, F. Lin & I. Moon. KDD, 2009.
• Mining Rich Session Context to Improve Web Search. G. Zhu & G. Mishne. KDD, 2009.
• A Dynamic Bayesian Network Click Model for Web Search Ranking. O. Chapelle & Y. Zhang WWW, p. 1-10, 2009
• Click Chain Model in Web Search. F Guo, C. Liu, A. Kannan, T. Minka, M. Taylor, Y. Wang & C. Faloutsos. WWW, p. 11-20, 2009
• Smart Miner: A New Framework for Mining Large Scale Web Usage Data M. Bayir, I. Toroslu, A. Cosar & G. Fidan. WWW, p. 161-170, 2009.
• Matchbox: Large Scale Online Bayesian Recommendations. D. Stern, R. Herbrich & T. Graepel. WWW, p. 111-120, 2009.
• Personalized Recommendation on Dynamic Content Using Predictive Bilinear Models. W. Chu & S. Park. WWW, p. 691-700, 2009.
• .
• --------------------2008--------------------
• Personalized Web Exploration with Task Models. J. Ahn, P.r Brusilovsky, D. He, J. Grady & Q. Li. WWW, p. 1-10, 2008.
• Personalized Interactive Faceted Search. J. Koren, Y. Zhang & X. Liu. WWW, p. 477-486, 2008.
• Yes, There is a Correlation - From Social Networks to Personal Behavior on the Web. P. Singla & M. Richardson. WWW, p. 655-664, 2008.
• Personalized View-Based Search and Visualization as a Means for Deep/Semantic Web Data Access . M. Tvaroek & M. Bielikova. WWW, p. 1023-1024, 2008.
• Personalized Search and Exploration with MyTag. M. Braun, K. Dellschaft, T. Franz, D. Hering, P. Jungen, H. Metzler, E. M|ller , A. Rostilov & C. Saathoff. WWW, p. 1031-1032, 2008.
• Fast Algorithms for Top-k Personalized PageRank Queries. M. Gupta, A. Pathak & S. Chakrabarti. WWW, p. 1225-1226, 2008.
• --------------------2007--------------------
• Web Search Personalization with Ontological User Profiles A. Sieg, B. Mobasher, R. Burke. In Proc. of the 16th ACM Conference on Information and Knowledge Management (CIKM), 2007.
• A large-scale evaluation and analysis of personalized search strategies. Z. Dou, R. Song, J. Wen WWW, 2007.
• User Profiles for Personalized Information Access. S. Gauch, M. Speretta, A. Chadralmouli, and A. Micarelli. In Adaptive Web, P. Brusilovsky, A. Kobsa, W. Nejdl (Eds), Ch. 2, Springer-Verlag, 54-89, 2007.
• Data Mining for Web Personalization. B. Mobasher. In Adaptive Web, P. Brusilovsky, A. Kobsa, W. Nejdl (Eds), Ch. 3, Springer-Verlag, 90-135, 2007.
• Personalized Search on the World Wide Web. A. Micarelli, F. Gasparetti, F. Sciarrone, and Susan Gauch. In Adaptive Web, P. Brusilovsky, A. Kobsa, W. Nejdl (Eds), Ch. 6, Springer-Verlag, 195-230, 2007.
• Content-Based Recommendation Systems M. Pazzani, D. Billus. In Adaptive Web, P. Brusilovsky, A. Kobsa, W. Nejdl (Eds), Ch. 10, Springer-Verlag, 325-341, 2007.
• Exploiting web browsing histories to identify user needs. F. Gasparetti & A. Micarelli. IUI, pp 325-328, 2007.
• --------------------2006--------------------
• Improving Web Search Ranking by Incorporating User Behavior Information. E. Agichtein, E. Brill, and S. Dumais. SIGIR, 2006.
• Learning User Interaction Models for Predicting Web Search Result Preferences. E. Agichtein, E. Brill, S. Dumais, and R. Ragno. SIGIR, 2006.
• Automatic identification of user interest for personalized search. F. Qiu & J. Cho. Proc. WWW, p. 727-736, 2006.
• Mining Long-term Search History to Improve Search Accuracy. B. Tan, X. Shen & C. Zhai. KDD, pp 718-723, 2006.
• --------------------2005--------------------
• A Personalized Search Engine Based on Web-Snippet Hierarchical Clustering. P. Ferragina & A. Gulli. Proc. WWW 14, pp 801-810, 2005.
• Accurately Interpreting Clickthrough Data as Implicit Feedback. T. Joachims, L Granka, B. Pan, H. Hembrooke, and G. Gay. SIGIR, 2005.
• WordNet-based User Profiles for WordNet-based User Profiles for Semantic Personalization. G. Semeraro, M. Degemmis, P. Lops & I. Palmisano. Workshop on New Technologies for Personalized Information Access (PIA) 2005.
• Implicit user modeling for personalized search, X. Shen, B. Tan & C. Zhai. Intl Conf. Information and Knowledge Management. pp 824-831, 2005.
• Context-Sensitive Information Retrieval Using Implicit Feedback. X. Shen, B. Tan & C. Zhai Proc. SIGIR Conf., pp 43-50, 2005.
• Active Feedback in Ad-hoc Information Retrieval X. Shen & C. Zhai. Proc. SIGIR Conf., pp 59-66, 2005.
• Personalizing Search Based on User Search Histories, M. Speretta & S. Gauch, Intl Conf. Web Intelligence, pp 622-628, 2005.
• Personalizing Search via Automated Analysis of Interests and Activities, J. Teevan, S. Dumais and E. Horvitz. Proc. SIGIR Conf., pp 449-456, 2005.
• --------------------2004--------------------
• Adaptive Web Search Based on User Profile Constructed without Any Effort from Users, K. Sugiyama, K. Hatano & M. Yoshikawa. WWW, pp 675-684, 2004.
• The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search, J. Teevan, C. Alvarado, M. Ackerman and D. Karger, Proc. Compuer Human Interaction Conf., pp 415-422, 2004.
• Implicit User Profiling for On Demand Relevance Feedback, Y. Hijikata, Intl. Conf. Intelligent User Interfaces (IUI), 2004.
• --------------------2003--------------------
• Implicit Feedback for Inferring User Preference: A Bibliography, D. Kelly and J. Teevan, SIGIR Forum, 37(2), 2003
• Exploiting Query History for Document Ranking in Interactive Information Retrieval. X. Shen & C. Zhai. Prof. SIGIR, pp 377-378, 2003.
• --------------------2002--------------------
• Separating the Swarm: Categorization Methods for User Access Sessions on the Web, J. Heer & E. Chi, Proc. of the Human Factors in Computing Systems Conference (CHI), 2002.
• Mining the Structure of User Activity using Cluster Stability J. Heer & E. Chi SIAM Intl Conf on Data Mining, Workshop on Web Analysis, 2002
• An Empirical Evaluation of an Adaptive Web Site, G. Gena Proc. IUI, 2002.
• Text Classification using String Kernels, H. Lodhi, C. Saunders, J. Shawe-Taylor, N. Cristianini & Chris Watkins. J. ML Research, 2:419-444, 2002.
• Intelligent analysis of user interactions with web applications L. Paganelli & F. Paterno IUI, 2002.
• Getting to know you: learning new user preferences in recommender systems A. Rashid, I. Albert, D. Cosley, S. Lam, S. McNee, J. Konstan, J, Riedl. IUI, 2002.
• The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank M. Richardson & P. Domingos. Advances in Neural Information Processing Systems 14, 2002.
• Recommender systems using linear classifiers T. Zhang & V. Iyengar. J. ML Research, 3:313-331, 2002.
• Improving the Usability of an E-Commerce Web Site through Personalization, F. Abbattista, M. Degemmis, O. Licchelli, P. Lops, G. Semeraro & F. Zambetta Proc. Recommendation and Personalization in E-commerce (RPeC), 2002.
• --------------------2001--------------------
• Using Information Scent to Model User Information Needs and Actions on the Web, E. Chi, P. Pirolli, K. Chen, and J. Pitkow, J. ACM CHI 2001 Conference on Human Factors in Computing Systems, p490-497, 2001.
• Implicit Interest Indicators, M. Claypool, P. Le, M. Waseda & D. Brown. IUI, 2001.
• Inferring User Interest M. Claypool, D. Brown, P. Le & M. Waseda. IEEE Internet Computing, Nov/Dec, 2001.
• Mining the network value of customers, P. Domingos & M. Richardson. KDD, 2001.
• Automatic topic identification using webpage clustering IEEE ICDM, 2001.
• Graph-based Hierarchical Conceptual Clustering I. Jonyer, D. Cook & L. Holder. J. ML Research, 2:19-43, 2001.
• Personalization from incomplete data: what you don't know can hurt, B. Padmanabhan, Z. Zheng & S. Kimbrough. KDD, 2001.
• Machine Learning for User Modeling G. Webb, M. Pazzani & D. Billsus. UMUAI, 11:19-29, 2001.
• Predictive Statistical Models for User Modeling I. Zukerman & D. Albrecht. UMUAI, 11:5-18, 2001.
• --------------------2000--------------------
• Automatically Labeling Web Pages Based on Normal User Actions, J. Goecks & J. Shavlik IUI, 2000.
• Social choice theory and recommender systems: Analysis of the axiomatic foundations of collaborative filtering, D. Pennock, E. Horvitz & C. Giles, AAAI, 2000.
• Toward Adaptive Web Sites: Concept and Case Study M. Perkowitz & O. Etizoni, AI Journal, 118(1-2), 2000.
• Link Prediction and Path Analysis Using Markov Chains R. Sarukkai, WWW9, 2000.
• The Stochastic Approach for Link-Structure Analysis (SALSA) and the TKC Effect R. Lempel & S. Moran, WWW9, 2000.
• --------------------1999--------------------
• Ontology Based Personalized Search, A. Pretschner & S. Gauch, Proc. ICTAI, pp. 391-398, 1999.
• A Personal News Agent that Talks, Learns and Explans, D. Billsus & M. Pazzani, Intl. Conf. Autonomous Agents, 1999.
• A Hybrid User Model for News Story Classification, D. Billsus & M. Pazzani. Conf. User Modeling, 1999.
• Mining Longest Repeating Subsequences to Predict World Wide Web Surfing, J. Pitkow and P. Pirolli, USENIX Symposium on Internet Technologies & Systems, 1999.
• --------------------1998--------------------
• Strong Regularities in World Wide Web Surfing , B. Huberman, P. Pirolli, J. Pitkow & R Lukose, Science, 280(3):95-97, 1998.
• Implicit Feedback for Recommender Systems D. Oard & J. Kim. AAAI Workshop on Recommender Systems, 1998.
• On the Analysis of Web Site Usage Data: How Much Can We Learn About the Consumer From Web Logfiles? S. Sen, B. Padmanabhan, A. Tuzhilin, N. White & R. Stein European Journal of Marketing: Special Issue on Marketing in Cyberspace, 1998.
• --------------------1997--------------------
• Implicit Rating and Filtering D. Nichols In Proc. 5th DELOS Workshop on Filtering and Collaborative Filtering, Budapest, Hungary, 1997.
• Learning and Revising User Profiles: The Identification of Interesting Web Sites M. Pazzani & D. Billsus. Machine Learning, 27(3):313-331, 1997.
• --------------------1996--------------------
• Syskill & Webert: Identifying interesting web sites M. Pazzani, J. Muramatsu & D. Billsus, AAAI, 1996.