Abstract is missing.
- Mining Significant Usage Patterns from Clickstream DataLin Lu, Margaret H. Dunham, Yu Meng. 1-17 [doi]
- Using and Learning Semantics in Frequent Subgraph MiningBettina Berendt. 18-38 [doi]
- Overcoming Incomplete User Models in Recommendation Systems Via an OntologyVincent Schickel-Zuber, Boi Faltings. 39-57 [doi]
- Data Sparsity Issues in the Collaborative Filtering FrameworkMiha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Grobelnik. 58-76 [doi]
- USER: User-Sensitive Expert Recommendations for Knowledge-Dense EnvironmentsColin DeLong, Prasanna Kumar Desikan, Jaideep Srivastava. 77-95 [doi]
- Analysis and Detection of Segment-Focused Attacks Against Collaborative RecommendationBamshad Mobasher, Robin D. Burke, Chad Williams, Runa Bhaumik. 96-118 [doi]
- Adaptive Web Usage ProfilingBhushan Shankar Suryavanshi, Nematollaah Shiri, Sudhir P. Mudur. 119-138 [doi]
- On Clustering Techniques for Change Diagnosis in Data StreamsCharu C. Aggarwal, Philip S. Yu. 139-157 [doi]
- Personalized Search Results with User Interest Hierarchies Learnt from BookmarksHyoung-rae Kim, Philip K. Chan. 158-176 [doi]