Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Towards High-Precision Service Retrieval
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Organizing Business Knowledge: The MIT Process Handbook
Organizing Business Knowledge: The MIT Process Handbook
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
ACM SIGKDD Explorations Newsletter
OOPS: User Modeling Method for Task Oriented Mobile Internet Services
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Activity-based serendipitous recommendations with the Magitti mobile leisure guide
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User acceptance of mobile TV services
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Domain Ontology Learning from the Web
Domain Ontology Learning from the Web
Task knowledge based retrieval for service relevant to mobile user's activity
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Blog map of experiences: extracting and geographically mapping visitor experiences from urban blogs
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Construction and use of role-ontology for task-based service navigation system
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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In this paper, we propose an application called TaskGuideRoidTGR. TGR recommends YouTube contents with task-based descriptions. To collect the task description with both high coverage and precision, we mine tasks from the web given the input of lexico-syntactic pattern using sightseeing spot names. A user evaluation shows that TGR improved the frequency of watching videos by about 15%. From the results of an interview, 90.0% of the subjects gave TGR high marks in terms of finding new enjoyable videos. Furthermore, We show that TGR allows users to find sightseeing spots through task based descriptions at unknown places.