- Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems
- Classification Features for Attack Detection in Collaborative Recommender Systems
- Detection of Obfuscated Attacks in Collaborative Recommender Systems 1
- A Framework for the Analysis of Attacks Against Social Tagging Systems J.J. Sandvig, Runa Bhaumik, Maryam Ramezani, Robin Burke, Bamshad Mobasher
- Tailoring Retrieval to Support Case-Based Teaching* Robin Burke
- FAQ Finder: A CaseBased Approach to Knowledge Navigation K. Hammond, R. Burke, C. Martin, and S. Lytinen
- A Case-Based Reasoning Approach to Collaborative Filtering
- Personalized Recommendation in Social Tagging Systems Using Hierarchical Clustering
- Combining databases and knowledge bases for assisted browsing Robin Burke
- Securing Collaborative Filtering Against Malicious Attacks Through Anomaly Detection
- Exploring the Impact of Profile Injection Attacks in Social Tagging Systems
- 56 1541-1672/07/$25.00 2007 IEEE IEEE INTELLIGENT SYSTEMS Published by the IEEE Computer Society
- Robustness of Collaborative Recommendation Based On Association Rule Mining
- Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems
- Representing User Information Context with Ontologies Ahu Sieg, Bamshad Mobasher, Robin Burke, Ganesh Prabu, Steve Lytinen
- Collaborative Recommendation Vulnerability To Focused Bias Injection Attacks
- Hybrid Recommender Systems: Survey and Experiments
- Knowledge-based recommender systems Robin Burke
- Integrating Knowledge-based and Collaborative-filtering Recommender Systems
- Knowledge-Based Navigation of Complex Information Spaces Robin D. Burke, Kristian J. Hammond & Benjamin C. Young
- Ranking algorithms for costly similarity measures
- DOI 10.1007/s11761-007-0013-0 ORIGINAL RESEARCH
- Toward Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm
- The Impact of Attack Profile Classification on the Robustness of Collaborative Recommendation
- Selecting and Applying Recommendation Technology Maryam Ramezania,
- Burke, Interactive Critiquing... Interactive Critiquing for
- Knowledge-based Information Retrieval from Semi-Structured Text Robin Burke, Kristian Hammond, & Julia Kozlovsky
- Knowledgebased information retrieval from semistructured text Robin D. Burke, Kristian J. Hammond & Edwin Cooper
- Effectiveness of Crawling Attacks Against Web-based Recommender Systems Runa Bhaumik, Robin Burke, Bamshad Mobasher
- Question Answering from FrequentlyAsked Question Files: Experiences with the FAQ Finder System
- Refining the Universal Indexing Frame to Support Retrieval of Tutorial Stories
- Semantic ratings and heuristic similarity for collaborative filtering
- Model-Based Collaborative Filtering as a Defense Against Profile Injection Attacks
- Natural Language Processing in the FAQ Finder System: Results and Prospects
- Impact of Relevance Measures on the Robustness and Accuracy
- Concept Based Query Enhancement in the ARCH Search Agent
- Ontological User Profiles for Representing Context in Web Search Ahu Sieg, Bamshad Mobasher, Robin Burke
- Web Search Personalization with Ontological User Profiles asieg@cti.depaul.edu
- A Case-Based Approach to Knowledge Navigation Kristian J. Hammond
- Limited Knowledge Shilling Attacks in Collaborative Filtering Systems Robin Burke, Bamshad Mobasher, and Runa Bhaumik
- Supporting Learning through Active Retrieval of Video Stories
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- The Wasabi Personal Shopper: A Case-Based Recommender System
- A Case-Based Reasoning Approac Robin Burke, University of California, Irvine*
- Identifying Attack Models for Secure Recommendation Robin Burke, Bamshad Mobasher, Roman Zabicki, Runa Bhaumik
