Answer-set programming based dynamic user modeling for recommender systems

Authors:
João Leite;Manoela Ilić
Affiliations:
CENTRIA, Universidade Nova de Lisboa, Portugal;CENTRIA, Universidade Nova de Lisboa, Portugal
Venue:
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Year:
2007

Citing 15
Cited 3

Logic programs with classical negation

Logic programming
Using collaborative filtering to weave an information tapestry

Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews

CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommender systems

Communications of the ACM
Fab: content-based, collaborative recommendation

Communications of the ACM
Knowledge Representation, Reasoning, and Declarative Problem Solving

Knowledge Representation, Reasoning, and Declarative Problem Solving
Hybrid Recommender Systems: Survey and Experiments

User Modeling and User-Adapted Interaction
E-Commerce Recommendation Applications

Data Mining and Knowledge Discovery
User Modeling for Adaptive News Access

User Modeling and User-Adapted Interaction
Smodels - An Implementation of the Stable Model and Well-Founded Semantics for Normal LP

LPNMR '97 Proceedings of the 4th International Conference on Logic Programming and Nonmonotonic Reasoning
The DLV System

JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Knowledge-based interactive selling of financial services with FSAdvisor

IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Content-based recommendation systems

The adaptive web
Data integration and answer set programming

LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
Do you trust your recommendations? an exploration of security and privacy issues in recommender systems

ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security

Explicit Dynamic User Profiles for a Collaborative Filtering Recommender System

IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Scalable Dynamic User Preferences for Recommender Systems through the Use of the Well-Founded Semantics

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Formalization of psychological knowledge in answer set programming and its application

Theory and Practice of Logic Programming

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we propose the introduction of dynamic logic programming - an extension of answer set programming - in recommender systems, as a means for users to specify and update their models, with the purpose of enhancing recommendations.