Utilizing Physical and Social Context to Improve Recommender Systems

Authors:
Wolfgang Woerndl;Georg Groh
Affiliations:
-;-
Venue:
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Year:
2007

Citing 8
Cited 8

Hybrid Recommender Systems: Survey and Experiments

User Modeling and User-Adapted Interaction
Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

IEEE Transactions on Knowledge and Data Engineering
Computing and applying trust in web-based social networks

Computing and applying trust in web-based social networks
'Knowing me, knowing you' -- Using profiles and social networking to improve recommender systems

BT Technology Journal
Intelligent Techniques for Web Personalization: IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers (Lecture Notes ... / Lecture Notes in Artificial Intelligence)

Intelligent Techniques for Web Personalization: IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers (Lecture Notes ... / Lecture Notes in Artificial Intelligence)
Collaborative, Context-Aware Applications for Inter-networked Cars

WETICE '07 Proceedings of the 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
A Hybrid Recommender System for Context-aware Recommendations of Mobile Applications

ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Context-Aware collaborative filtering system: predicting the user's preference in the ubiquitous computing environment

LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness

User model elicitation and enrichment for context-sensitive personalization in a multiplatform tv environment

Proceedings of the seventh european conference on European interactive television conference
Simple time-aware and social-aware user similarity for a KNN-based recommender system

Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Personalizing location information through rule-based policies

RuleML'12 Proceedings of the 6th international conference on Rules on the Web: research and applications
An analysis of topical proximity in the twitter social graph

SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Location context aware collective filtering algorithm

ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Who should I add as a "friend"?: a study of friend recommendations using proximity and homophily

Proceedings of the 4th International Workshop on Modeling Social Media
Recommender systems survey

Knowledge-Based Systems
An intelligent web recommendation system for ubiquitous geolocation awareness

International Journal of Ad Hoc and Ubiquitous Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Context has rarely been incorporated into recommender systems so far, but physical (e.g. a user's location) or social (e.g. the social network of a user)context can be useful sources for improving recommender systems. In this paper, we first discuss some principles for context-awareness in recommender systems. Then we present our hybrid recommender system for recommending applications to users of mobile devices. Finally, we describe our approach to utilize social networks to enhance collaborative filtering. Our evaluation shows that the social recommender outperforms traditional collaborative filtering algorithms in our scenario.