Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology
An Expressive Query Language for Product Recommender Systems
Artificial Intelligence Review
Interactive Critiquing forCatalog Navigation in E-Commerce
Artificial Intelligence Review
Cooperative Responses to Boolean Queries
Proceedings of the First International Conference on Data Engineering
ITR: A Case-Based Travel Advisory System
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Intelligent Sales Support with CBR
Case-Based Reasoning Technology, From Foundations to Applications
Extending some Concepts of CBR - Foundations of Case Retrieval Nets
Case-Based Reasoning Technology, From Foundations to Applications
Defining Similarity Measures: Top-Down vs. Bottom-Up
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Supporting product selection with query editing recommendations
Proceedings of the 2007 ACM conference on Recommender systems
COOPERATIVE QUERY REWRITING FOR DECISION MAKING SUPPORT AND RECOMMENDER SYSTEMS
Applied Artificial Intelligence
Personalized query relaxations and repairs in knowledge-based recommendation
Proceedings of the third ACM conference on Recommender systems
Fast computation of query relaxations for knowledge-based recommenders
AI Communications
Incremental controlled relaxation of failing flexible queries
Journal of Intelligent Information Systems
Improving Decision Quality Through Preference Relaxation
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
Rapid development of knowledge-based conversational recommender applications with advisor suite
Journal of Web Engineering
Efficient detection of minimal failing subqueries in a fuzzy querying context
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Completeness criteria for retrieval in recommender systems
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Intelligent product search with soft-boundary preference relaxation
Expert Systems with Applications: An International Journal
Personalized diagnoses for inconsistent user requirements
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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In case-based reasoning (CBR) approaches to product recommendation, descriptions of the available products are stored in a case library and retrieved in response to a query representing the user's requirements. We present an approach to recovery from the retrieval failures that often occur when the user's requirements are treated as constraints that must be satisfied. Failure to retrieve a matching case triggers a recovery process in which the user is invited to select from a recovery set of relaxations (or sub-queries) of her query that are guaranteed to succeed. The suggested relaxations are ranked according to a simple measure of recovery cost defined in terms of the importance weights assigned to the query attributes. The recovery set for an unsuccessful query also serves as a guide to continued exploration of the product space when none of the cases initially recommended by the system is acceptable to the user