Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
A plan-based model for response generation in collaborative task-oriented dialogues
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
An adaptive Web page recommendation service
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Collecting user access patterns for building user profiles and collaborative filtering
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Communications of the ACM
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Wasabi Personal Shopper: a case-based recommender system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Automatic personalization based on Web usage mining
Communications of the ACM
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Tailoring the Interaction with Users in Web Stores
User Modeling and User-Adapted Interaction
Dynamic Taxonomies: A Model for Large Information Bases
IEEE Transactions on Knowledge and Data Engineering
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Enhancing Product Recommender Systems on Sparse Binary Data
Data Mining and Knowledge Discovery
Unifying collaborative and content-based filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Personalized User Preference Elicitation for e-Services
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
Conversational Collaborative Recommendation --- An Experimental Analysis
Artificial Intelligence Review
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Evaluating compound critiquing recommenders: a real-user study
Proceedings of the 8th ACM conference on Electronic commerce
Comparing Recommendation Strategies in a Commercial Context
IEEE Intelligent Systems
An Integrated Environment for the Development of Knowledge-Based Recommender Applications
International Journal of Electronic Commerce
International Journal of Electronic Commerce
Persuasion in Recommender Systems
International Journal of Electronic Commerce
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
Knowledge-based interactive selling of financial services with FSAdvisor
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Preference-based search using example-critiquing with suggestions
Journal of Artificial Intelligence Research
ExpertClerk: navigating shoppers' buying process with the combination of asking and proposing
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Knowledge-Based Systems
Techniques for fast query relaxation in content-based recommender systems
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Product recommendation with interactive query management and twofold similarity
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Data mining for web personalization
The adaptive web
Collaborative filtering recommender systems
The adaptive web
Content-based recommendation systems
The adaptive web
The adaptive web
Personalization in e-commerce applications
The adaptive web
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Persuasive online-selling in quality and taste domains
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Tailored responses for decision support
UM'05 Proceedings of the 10th international conference on User Modeling
A collaborative constraint-based meta-level recommender
Proceedings of the 2008 ACM conference on Recommender systems
Cross-representation mediation of user models
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
ISeller: A Flexible Personalization Infrastructure for e-Commerce Applications
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Recommendation systems with complex constraints: A course recommendation perspective
ACM Transactions on Information Systems (TOIS)
PB-ADVISOR: A private banking multi-investment portfolio advisor
Information Sciences: an International Journal
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
TasteWeights: a visual interactive hybrid recommender system
Proceedings of the sixth ACM conference on Recommender systems
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Recommender Systems (RS) suggest useful and interesting items to users in order to increase user satisfaction and online conversion rates. They typically exploit explicit or implicit user feedback such as ratings, buying records or clickstream data and apply statistical methods to derive recommendations. This paper focuses on explicitly formulated customer requirements as the sole type of user feedback. Its contribution lies in comparing different techniques such as knowledge- and utility-based methods, collaborative filtering, association rule mining as well as hybrid variants when user models consist solely of explicit customer requirements. We examine how this type of user feedback can be exploited for personalization in e-commerce scenarios. Furthermore, examples of actual online shops are developed where such contextual user information is available, demonstrating how more efficient RS configurations can be implemented. Results indicate that, especially for new users, explicit customer requirements are a useful source of feedback for personalization and hybrid configurations of collaborative and knowledge-based techniques achieve best results.