Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology
A Generalised Approach to Similarity-Based Retrieval in Recommender Systems
Artificial Intelligence Review
An Expressive Query Language for Product Recommender Systems
Artificial Intelligence Review
Interactive Critiquing forCatalog Navigation in E-Commerce
Artificial Intelligence Review
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
Diverse Product Recommendations Using an Expressive Language for Case Retrieval
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
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A case-based approach to knowledge navigation
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Introduction to the Special Issue on Explanation in Case-Based Reasoning
Artificial Intelligence Review
Explanation in Recommender Systems
Artificial Intelligence Review
Retrieval Failure and Recovery in Recommender Systems
Artificial Intelligence Review
Trust building with explanation interfaces
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
Evaluating compound critiquing recommenders: a real-user study
Proceedings of the 8th ACM conference on Electronic commerce
Trust-inspiring explanation interfaces for recommender systems
Knowledge-Based Systems
A visual interface for critiquing-based recommender systems
Proceedings of the 9th ACM conference on Electronic commerce
Mixed-Initiative Relaxation of Constraints in Critiquing Dialogues
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A CBR-Based Approach for Ship Collision Avoidance
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
An Analysis of Research Themes in the CBR Conference Literature
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
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
Prototyping recommender systems in jcolibri
Proceedings of the 2008 ACM conference on Recommender systems
A novel method for the selection of expert systems using case-based reasoning
International Journal of Knowledge Engineering and Soft Data Paradigms
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
The ins and outs of critiquing
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Plausible repairs for inconsistent requirements
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Case Learning in CBR-Based Agent Systems for Ship Collision Avoidance
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Personalized user interfaces for product configuration
Proceedings of the 15th international conference on Intelligent user interfaces
Experiments on the preference-based organization interface in recommender systems
ACM Transactions on Computer-Human Interaction (TOCHI)
Knowledge-Based Systems
The adaptive web
A live-user evaluation of incremental dynamic critiquing
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Case-based recommender systems: a unifying view
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Case learning for CBR-based collision avoidance systems
Applied Intelligence
Completeness criteria for retrieval in recommender systems
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Similarity-Based Retrieval With Structure-Sensitive Sparse Binary Distributed Representations
Computational Intelligence
Improving photo recommendation with context awareness
Proceedings of the 18th Brazilian symposium on Multimedia and the web
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
Reutilization of diagnostic cases by adaptation of knowledge models
Engineering Applications of Artificial Intelligence
| Hi-index | 0.00 |
A common cause of retrieval failure in case-based reasoning (CBR) approaches to product recommendation is that the retrieved cases, usually those that are most similar to the target query, are not sufficiently representative of compromises that the user may be prepared to make. We present a new approach to retrieval in which similarity and compromise play complementary roles, thereby increasing the likelihood that one of the retrieved cases will be acceptable to the user. We also show how the approach can be extended to address the requirements of domains in which the user is not just seeking a single item that closely matches her query, but would like to be informed of all items that are likely to be of interest.