A Hybrid Recommender System for Context-aware Recommendations of Mobile Applications

Authors:
Wolfgang Woerndl;Christian Schueller;Rolf Wojtech
Affiliations:
Technische Universitaet Muenchen, Institut fuer Informatik. woerndl@in.tum.de;UnternehmerTUM GmbH. schueller@unternehmertum.de;Technische Universitaet Muenchen, Institut fuer Informatik. wojtech@in.tum.de
Venue:
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Year:
2007

Citing 0
Cited 13

Utilizing Physical and Social Context to Improve Recommender Systems

WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Web-Based Recommender Systems and User Needs --the Comprehensive View

Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
User-centric mobile services: context provisioning and user profiling

Proceedings of the 11th Annual International Digital Government Research Conference on Public Administration Online: Challenges and Opportunities
AppJoy: personalized mobile application discovery

MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
A novel recommendation model of location-based advertising: Context-Aware Collaborative Filtering using GA approach

Expert Systems with Applications: An International Journal
Identifying diverse usage behaviors of smartphone apps

Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
An efficient context-aware personalization technique in ubiquitous environments

Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Which App? A recommender system of applications in markets: Implementation of the service for monitoring users' interaction

Expert Systems with Applications: An International Journal
Towards personalized context-aware recommendation by mining context logs through topic models

PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Climbing the app wall: enabling mobile app discovery through context-aware recommendations

Proceedings of the 21st ACM international conference on Information and knowledge management
AppFunnel: a framework for usage-centric evaluation of recommender systems that suggest mobile applications

Proceedings of the 2013 international conference on Intelligent user interfaces
Leveraging biosignal and collaborative filtering for context-aware recommendation

Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
Multi-objective mobile app recommendation: A system-level collaboration approach

Computers and Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The goal of the work in this paper is towards the incorporation of context in recommender systems in the domain of mobile applications. The approach recommends mobile applications to users based on what other users have installed in a similar context. The idea is to apply a hybrid recommender system to deal with the added complexity of context. We have designed and realized the application to test our ideas. Users can select among several content-based or collaborative filtering components, including a rule-based module using information on point-of-interests in the vicinity of the user, and a component for the integration of traditional collaborative filtering. The implementation is integrated in a framework supporting the development and deployment of mobile services.