Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Comparison-Based Recommendation
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
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
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Compound Critiques for Conversational Recommender Systems
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
iCARE: intelligent customer assistance for recommending eyewear
Proceedings of the 11th international conference on Intelligent user interfaces
Increasing user decision accuracy using suggestions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Electronic Commerce
Conversational recommenders with adaptive suggestions
Proceedings of the 2007 ACM conference on Recommender systems
CBR for CBR: A Case-Based Template Recommender System for Building Case-Based Systems
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Preference-based search with adaptive recommendations
AI Communications - Recommender Systems
Evaluating preference-based search tools: a tale of two approaches
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Preference-based search using example-critiquing with suggestions
Journal of Artificial Intelligence Research
Knowledge-Based Systems
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
The adaptive web
Knowledge discovery from user preferences in conversational recommendation
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Improving the performance of recommender systems that use critiquing
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
The lookahead principle for preference elicitation: experimental results
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
User Modeling and User-Adapted Interaction
Flexible and dynamic compromises for effective recommendations
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
jcolibri2: A framework for building Case-based reasoning systems
Science of Computer Programming
Template-Based Design in COLIBRI Studio
Information Systems
| Hi-index | 0.00 |
User feedback is vital in many recommender systems to help guide the search for good recommendations. Preference-based feedback (e.g. "Show me more like item A") is an inherently ambiguous form of feedback with a limited ability to guide the recommendation process, and for this reason it is usually avoided. Nevertheless we believe that certain domains demand the use of preference-based feedback. As such, we describe and evaluate a flexible recommendation strategy that has the potential to improve the performance of case-based recommenders that rely on preference-based feedback.