Abstract
As the number of web pages increases dramatically, the problem of the information overload becomes more severe when browsing and searching the WWW. To alleviate this problem, personalization becomes a popular remedy to customize the Web environment towards a user’s preference. To date, recommendation systems and personalized web search systems are the most successful examples of Web personalization. By focusing on these two types of systems, this paper reviews the challenges and the corresponding approaches proposed in the past ten years.
This research has been funded in part by NSF grants EEC-9529152 (IMSC ERC) and IIS-0082826, and unrestricted cash gifts from Microsoft, NCR, and Okawa Foundation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shahabi, C., Banaei-Kashani, F., Chen, Y.-S., McLeod, D.: Yoda: An Accurate and Scalable Web-based Recommendation System. In: Proceedings of Sixth International Conference on Cooperative Information Systems (2001)
Shahabi, C., Chen, Y.-S.: An Adaptive Recommendation System without Explicit Acquisition of User Relevance Feedback. Distributed and Parallel Databases 14, 173–192 (2003)
Moukas, A.: Amalthea: Information discovery and filtering using a multiagent evolving ecosystem. In: Proceedings of 1st Int. Conf. on The Practical Applications of Intelligent Agents and MultiAgent Technology (1996)
Sheth, B., Maes, P.: Evolving Agents for Personalized Information Filtering. In: Proceedings of the Ninth IEEE Conference on Artificial Intelligence for Applications (1993)
Holland, J.: Adaption in Natural and Artificial Systems. University of Michigan Press, Ann Arbor
Konstan, J., Miller, B., Maltz, D., Herlocker, J., Gordon, L., Riedl, J.: Applying Collaborative Filtering to Usenet News. Communications of the ACM 40(3) (1997)
Shahabi, C., Zarkesh, A.M., Adibi, J., Shah, V.: Knowledge Discovery from Users Web Page Navigation. In: Proceedings of the IEEE RIDE 1997 Workshop (1997)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Application of Dimensionality Reduction in Recommender System – A Case Study. In: Proceedings of ACM WebKDD 2000 Web Mining for e-Commerce Workshop (2000)
Kitts, B., Freed, D., Vrieze, M.: Cross-sell, a fast promotion-tunable customeritem recommendation method based on conditionally independent probabilities. In: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 337–446 (2000)
Breese, J., Heckerman, D., Kadie, C.: Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 43–52 (1998)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of Recommendation Algorithms for e-Commerce. In: Proceedings of ACM e-Commerce 2000 Conference (2000)
Balabanovi, M., Shoham, Y.: Fab, content-based, collaborative recommendation. Communications of the ACM 40(3), 66–72 (1997)
Balabanovi, M.: An Adaptive Web page Recommendation Service. In: Proceedings of Autonomous Agents, pp. 378–385 (1997)
Kohrs, A., Merialdo, B.: Using category-based collaborative filtering in the Active WebMuseum. In: Proceedings of IEEE International Conference on Multimedia and Expo, vol. 1, pp. 351–354 (2000)
Lieberman, H., Dyke, N., Vivacqua, A.: Let’s Browse, A Collaborative Browsing Agent. Knowledge-Based Systems 12, 427–431 (1999)
Shardanand, U., Maes, P.: Social Information Filtering, Algorithm for automating ”Word of Mouth”. In: Proceedings on Human factors in computing systems, pp. 210–217 (1995)
Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: GroupLens, An Open Architecture for Collaborative Filtering of Netnews. In: Proceedings of ACM conference on Cumputer-Supported Cooperative Work, pp. 175–186 (1994)
Good, N., Schafer, J., Konstan, J., Borchers, J., Sarwar, B., Herlocker, J., Riedl, J.: Combining Collaborative Filtering with Personal Agents for Better Recommendations. In: Proceedings of the 1999 Conference of the American Association of Artifical Intelligence, pp. 439–446 (1999)
Pazzani, M., Billsus, D.: Learning and Revising User profiles: The Indentification of Interesting Web Sites. Machine Learning 27, 313–331 (1997)
Tan, A., Teo, C.: Learning User Profiles for Personalized Information Dissemination. In: Proceedings of Int’l Joint Conf. on Neural Network, pp. 183–188 (1998)
Lam, W., Mukhopadhyay, S., Mostafa, J., Palakal, M.: Detection of Shifts in User Interests for Personalized Information Filtering. In: Proceedings of the 19th Int’l ACM-SIGIR Conf. on Research and Development in Information Retrieval, pp. 317–325 (1996)
Goldberg, D.E.: Genetic Algorithms in Search, Optimisation, and Machine Learning. Addison-Wesley, Wokingham (1989)
Shahabi, C., Banaei-Kashani, F., Faruque, J., Faisal, A.: Feature Matrices: A Model for Efficient and Anonymous Web Usage Mining. In: Proceedings of EC-Web (2001)
Shahabi, C., Banaei-Kashani, F., Faruque, J.: A Reliable, Efficient, and Scalable System forWeb Usage Data Acquisition. In: WebKDD 2001 Workshop in conjunction with the ACM-SIGKDD (2001)
Fagin, R.: Combining Fuzzy Information from Multiple Systems. In: Proceedings of Fifteenth ACM Symposyum on Principles of Database Systems (1996)
Hunter, A.: Sugal Programming manual (1995), http://www.trajan-software.demon.co.uk/sugal.htm
Wu, L., Faloutsos, C., Sycara, K., Payne, T.: FALCON: Feedback Adaptive Loop for Content-Based Retrieval. In: Proceedings of Int’l. Conf. on Very Large Data Bases (2000)
Knorr, E., Ng, R., Tucakov, V.: Distance-Based Outliers: Algorithms and Applications. The VLDB Journal 8(3), 237–253 (2000)
Mobasher, B., Cooley, R., Srivastava, J.: Automatic personalization based on Web usage mining. Communications of the ACM 43(8), 142–151 (2000)
Mobasher, B., Dai, H., Luo, T., Nakagawa, M.: Web Data Mining: Effective personalization based on association rule discovery from web usage data. In: Proceeding of the Third International Workshop on Web Information and Data Management (2001)
Rui, Y., Huang, T., Ortega, M., Mehrotra, S.: Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Transactions on Circuits and Systems for Video Technology 8(5), 644–655 (1998)
Knuth, D.: Seminumerical Algorithm. The Art of Computer Programming 2 (1997)
Lyman, P., Varian, H.R.: How Much Information (2000), Retrieved from http://www.sims.berkeley.edu/research/projects/how-much-info/internet.html
Google: Google Technology (2003), Retrieved from http://www.google.com/technology/
Jeh, G., Widom, J.: Scaling Personalized Web Search. In: Proceedings of the 12th International World Wide Web Conference (2003)
Haveliwala, T.H.: Topic-sensitive PageRank. In: Proceedings of the 11th International World Wide Web Conference (2002)
Chau, M., Zeng, D., Chen, H.: Personalized Spiders for Web Search and Analysis. In: Proceedings of ACM/IEEE Joint Conference on Digital Libraries (2001)
Liu, F., Yu, C.T., Meng, W.: Personalized web search by mapping user queries to categories. In: Proceedings of CIKM (2002)
Chen, L., Sycara, K.: WebMate: A Personal Agent for Browsing and Searching. In: Proceedings of the 2nd International Conference on Autonomous Agents (1998)
Tanudjaja, F., Mui, L.: Persona: a contextualized and personalized web search. In: 35th Annual Hawaii International Conference on System Sciences (2002)
Lawrence, S., Giles, C.L.: Accessibility of Information on the Web. Nature 400, 107–109 (1999)
Scime, A., Kerschberg, L.: WebSifter: An Ontology-Based Personalizable Search Agent for the Web. In: Proceedings of International Conference on Digital Libraries: Research and Practice (2000)
Zhu, S., Deng, X., Chen, K., Zheng, W.: Using Online Relevance Feedback to Build Effective Personalized Metasearch Engine. In: Proceedings of Second International Conference on Web Information Systems Engineering (2001)
Glover, E., Lawrence, S., Birmingham, W.P., Giles, C.L.: Architecture of a Metasearch Engine that Supports User Information Needs. In: Proceedings of Eighth International Conference on Information and Knowledge Management (1999)
Glover, E., Flake, G.W., Lawrence, S., Birmingham, W.P., Kruger, A., Giles, C. L., Pennock, D.M.: Improving Category Specific Web Search by Learning Query Modifications. In: Proceedings of Symposium on Applications and the Internet (2001)
Chen, Y.-S., Shahabi, C., Burns, G.: Two-Phase Decision Fusion Based On User Preferences. submitted for reviewing (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shahabi, C., Chen, YS. (2003). Web Information Personalization: Challenges and Approaches. In: Bianchi-Berthouze, N. (eds) Databases in Networked Information Systems. DNIS 2003. Lecture Notes in Computer Science, vol 2822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39845-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-39845-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20111-3
Online ISBN: 978-3-540-39845-5
eBook Packages: Springer Book Archive