Paper Info
Title
Classification-based Situational Reasoning for Task-oriented Mobile Service Recommendation
Abstract
We study the case of integrating situational reasoning into a mobile service recommendation system. Since mobile Inter- net services are rapidly proliferating, finding and using appropriate services requires profound service descriptions. As a consequence, for average mobile users it is nowadays virtually impossible to find the most appropriate service among the many offered. To overcome these difficulties, task navigation systems have been proposed to guide users towards best-fitting services. Our goal is to improve the user experience of such task navigation systems by adding context- awareness (i.e., to optimize service navigation by taking the user's situation into account). In this paper we propose the integration of a situational reasoning engine that applies classification-based infer- ence to context elements, gathered from multiple sources and rep- resented using ontologies. The extended task navigator enables the delivery of situation-aware recommendations in a proactive way. Ini- tial experiments with the extended system indicate a considerable improvement of the navigator's usability.
Year
Venue
Keywords
2006
C&O@ECAI
recommender system,user experience,situation awareness
Field
DocType
Citations 
Ontology (information science),Recommender system,User experience design,World Wide Web,Semantic reasoner,Inference,Computer science,Usability,Mobile service,Situational ethics
Conference
1
PageRank 
References 
Authors
0.37
15
7
Name
Order
Citations
PageRank
Marko Luther115316.00
Yusuke Fukazawa213719.28
Bertrand Souville3484.13
Kunihiro Fujii4292.95
Takefumi Naganuma5585.61
Matthias Wagner6725.47
Shoji Kurakake718117.16