Communications of the ACM
Recommending or persuading?: the impact of a shopping agent's algorithm on user behavior
Proceedings of the 3rd ACM conference on Electronic Commerce
Artificial Intelligence Review
Interactive Critiquing forCatalog Navigation in E-Commerce
Artificial Intelligence Review
FLEX: A Tolerant and Cooperative User Interface to Databases
IEEE Transactions on Knowledge and Data Engineering
Generalization and a Framework for Query Modification
Proceedings of the Sixth International Conference on Data Engineering
Proceedings of the 17th International Conference on Data Engineering
Diverse Product Recommendations Using an Expressive Language for Case Retrieval
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Defining Similarity Measures: Top-Down vs. Bottom-Up
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Optimizing Return-Set Size for Requirements Satisfaction and Cognitive Load
ISEC '02 Proceedings of the Third International Symposium on Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Retrieval Failure and Recovery in Recommender Systems
Artificial Intelligence Review
Case-based recommender systems
The Knowledge Engineering Review
Expert Systems with Applications: An International Journal
Mobile decision support for in-store purchase decisions
Decision Support Systems
A user-oriented contents recommendation system in peer-to-peer architecture
Expert Systems with Applications: An International Journal
Recommender systems and their impact on sales diversity
Proceedings of the 8th ACM conference on Electronic commerce
Informed Recommender: Basing Recommendations on Consumer Product Reviews
IEEE Intelligent Systems
Persuasion in Recommender Systems
International Journal of Electronic Commerce
Supporting product selection with query editing recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Evaluating product search and recommender systems for E-commerce environments
Electronic Commerce Research
COOPERATIVE QUERY REWRITING FOR DECISION MAKING SUPPORT AND RECOMMENDER SYSTEMS
Applied Artificial Intelligence
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
UM '07 Proceedings of the 11th international conference on User Modeling
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
Consideration sets in online shopping environments: the effects of search tool and information load
Electronic Commerce Research and Applications
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Enhancing recommender systems under volatile userinterest drifts
Proceedings of the 18th ACM conference on Information and knowledge management
Incremental controlled relaxation of failing flexible queries
Journal of Intelligent Information Systems
Assessing the impact of internet agent on end users' performance
Decision Support Systems
A diversity-based method for infrequent purchase decision support in e-commerce
Electronic Commerce Research and Applications
Predicting Missing Ratings in Recommender Systems: Adapted Factorization Approach
International Journal of Electronic Commerce
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Combining case-based and similarity-based product recommendation
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Influence of Query-Based Decision Aids on Consumer Decision Making in Electronic Commerce
Information Resources Management Journal
| Hi-index | 12.05 |
This paper proposes a novel method for preference relaxation in online product search, which enables consumers to make quality choices without suffering from the commonly experienced information overload. In online shopping scenarios that involve multi-attribute choice tasks, it can be difficult for consumers to process the vast amounts of information available and to make satisfactory buying decisions. In such situations consumers are likely to eliminate potentially good choices early on, using hard-constraint filtering tools. Our approach uses edge sets to identify the alternatives on the soft boundary and the principle of alternative domination to suppress the alternatives on this boundary that are irrelevant. We demonstrate how our approach outperforms existing methods for product search in a set of simulations using two sets of 2650 car advertisements and 1813 digital cameras gathered from a popular online store.