- Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
- Formatting Your AAAI Paper Using the LATEX Style Files American Association for Artificial Intelligence
- Creating Adaptive Web Sites Through Usage-Based Clustering of URLs Bamshad Mobasher
- 1 Web Usage Mining and Personalization 1 1.1 Introduction and Background . . . . . . . . . . . . . . . . . . . . . . . . . . 2
- Chapter 12: Web Usage Mining By Bamshad Mobasher
- Plan Execution by Contracting in a Multi-Agent Environment
- Using Data Mining and Recommender Systems to Scale up the Requirements Process
- Multi-valued Logic Programming Semantics: An Algebraic Approach 1
- A Road map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining
- Recommender Systems Bamshad Mobasher
- Evaluating Risk: Flexibility and Feasibility in Multi-Agent Contracting
- Measuring the Accuracy of Sessionizers for Web Usage Analysis Bettina Berendt, Bamshad Mobasher, Myra Spiliopoulou, Jim Wiltshire
- Document Categorization and Query Generation on the World Wide Web Using WebACE
- Partitioning-Based Clustering for Web Document Categorization
- Web Mining: Information and Pattern Discovery on the World Wide Web
- Web Page Categorization and Feature Selection Using Association Rule and Principal Component Clustering
- Algebraic Semantics for Knowledge-based Logic Programs Bamshad Mobasher1
- A Hybrid Web Personalization Model Based on Site Connectivity
- USING SEMANTIC SIMILARITY TO ENHANCE ITEM-BASED COLLABORATIVE FILTERING
- Task-Oriented Web User Modeling for Recommendation
- Data Mining for Web Personalization Bamshad Mobasher
- Intelligent Techniques for Web Personalization Sarabjot Singh Anand1
- Contextual Recommendation Sarabjot Singh Anand1
- Representing Context in Web Search with Ontological User Profiles
- WebKDD 2006 Web Mining and Web Usage Analysis Post-Workshop report
- A Web Recommendation System Based on Maximum Entropy Xin Jin, Bamshad Mobasher,Yanzan Zhou
- Web Usage Mining Based on Probabilistic Latent Semantic Analysis
- A Unified Approach to Personalization Based on Probabilistic Latent Semantic Models of Web Usage and Content
- Integrating Semantic Knowledge with Web Usage Mining for Personalization
- Impact of Site Characteristics on Recommendation Models Based On Association Rules and Sequential Patterns
- The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis
- Using Ontologies to Discover Domain-Level Web Usage Profiles
- An Adaptive Agent for Web Exploration Based on Concept Hierarchies Scott Parent, Bamshad Mobasher
- A Client-Side Web Agent for Document Categorization D. Boley, M. Gini, K. Hastings, B. Mobasher, and J. Moore
- Temporal Strategies in a Multi-Agent Contracting Protocol March 11, 1997 1 Temporal Strategies
- Generalized knowledgebased semantics for multivalued logic programs
- WebKDD 2004 Web Mining and Web Usage Analysis Post-Workshop report
- Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
- Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results
- Personalization in Folksonomies Based on Tag Clustering Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin Burke
- Negation as Partial Failure Bamshad Mobasher
- MAGNET: A Multi-Agent Contracting System for Plan Execution John Collins, Maksim Tsvetovatyy, Bamshad Mobasher, and Maria Gini
- Search Strategies for Bid Selection in Multi-Agent Contracting
- Bid Evaluation and Selection in the MAGNET Automated Contracting System
- Integrating Web Usage and Content Mining for More E ective Personalization
- Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns
- Effective Personalization Based on Association Rule Discovery from Web Usage Data
- MAGMA: An Agent-Based Virtual Market for Electronic Commerce
- Inferring User's Information Context: Integrating User Profiles and Concept
- WebACE: A Web Agent for Document Categorization and Exploration Eui-Hong (Sam) Han Daniel Boley Maria Gini Robert Gross Kyle Hastings
- A Maximum Entropy Web Recommendation System: Combining Collaborative and Content Features
- An E cient Anytime Algorithm For Multiple-Component Bid Selection in
- A Duality Theory for Bilattices B. Mobasher, D. Pigozzi, G. Slutzki and G. Voutsadakis
- Web User Segmentation Based on a Mixture of Factor Analyzers
- Evaluating Risk: Flexibility and Feasibility in MultiAgent Contracting
- Clustering In A High-Dimensional Space Using Hypergraph Models
- Web Mining: Pattern Discovery from World Wide Web Transactions
- Crawling Attacks Against Web-based Recommender Systems
- The proceedings, working notes, or technical report will be printed directly from camera-ready copy furnished by the
- A Market Architecture for Multi-Agent Contracting John Collins, Ben Youngdahl, Scott Jamison,
- Ontological User Profiles for Personalized Web Search Ahu Sieg, Bamshad Mobasher, Robin Burke
- Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes
- A Framework For Mixed Initiative Agent-Based Contracting John Collins, Maksim Tsvetovat, Corey Bilot, Rashmi Sundareswara, Tim Lee, Maria Gini
- USING CONCEPT HIERARCHIES TO ENHANCE USER QUERIES IN WEB-BASED INFORMATION RETRIEVAL
- A Recommendation Model Based on Latent Principal Factors in Web Navigation Data
- Semantically Enhanced Collaborative Filtering Bamshad Mobasher, Xin Jin, and Yanzan Zhou
- A Consensus Based Approach to Constrained Clustering of Software Requirements
