Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
The World-Wide Web: quagmire or gold mine?
Communications of the ACM
PHOAKS: a system for sharing recommendations
Communications of the ACM
Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
A multilevel approach to intelligent information filtering: model, system, and evaluation
ACM Transactions on Information Systems (TOIS)
Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The SIFT information dissemination system
ACM Transactions on Database Systems (TODS)
Communications of the ACM
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
ACM SIGKDD Explorations Newsletter
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Knowledge discovery from users Web-page navigation
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A formal concept analysis approach for web usage mining
Intelligent information processing II
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Probabilistic factor models for web site recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Mapping web usage patterns to MDP model and mining with reinforcement learning
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
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Predicting the next request of a user as she visits Web pages has gained importance asWeb-based activity increases. There are a number of different approaches to prediction. Markov models and their variations, collaborative filtering models, or models based on pattern recognition techniques such as sequence mining, association rule mining, clustering user sessions or user, have been found well suited for this problem. In this paper we review these techniques and also highlight two new models that we have proposed. They consider the user access patterns to the pages as well as the time spent on these pages. We report experimental studies that show that the proposed methods can achieve a better accuracy than the other approaches.