Investigation of recommendation method considering region-restrictedness of spots

Authors:
Kenta Oku;Fumio Hattori
Affiliations:
College of Information Science and Engineering, Ritsumeikan University, Kusatsu-city, Shiga, Japan;College of Information Science and Engineering, Ritsumeikan University, Kusatsu-city, Shiga, Japan
Venue:
W2GIS'11 Proceedings of the 10th international conference on Web and wireless geographical information systems
Year:
2011

Citing 6
Cited 0

Cyberguide: a mobile context-aware tour guide

Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Experiences of developing and deploying a context-aware tourist guide: the GUIDE project

MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
C-MAP: Building a Context-Aware Mobile Assistant for Exhibition Tours

Community Computing and Support Systems, Social Interaction in Networked Communities [the book is based on the Kyoto Meeting on Social Interaction and Communityware, held in Kyoto, Japan, in June 1998]
Public Applications of SpaceTag and Their Impacts

Digital Cities, Technologies, Experiences, and Future Perspectives [the book is based on an international symposium held in Kyoto, Japan, in September 1999
Measuring semantic similarity between words using web search engines

Proceedings of the 16th international conference on World Wide Web
Basic study on a recommendation method considering region-restrictedness of spots

DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose and evaluate a recommendation method that considers region-restrictedness. In our previous work, we defined a spot as an establishment such as a restaurant, amusement facility, or tourist attraction in the real world. A spot with high region-restrictedness indicates that the spot is located in a restricted area but not in a user's home area. We defined the region-restrictedness score to extract regionrestricted phrases from text data about spots (such as promotional descriptions about spots). Then, spots including these phrases are recommended to the user. In this paper, we present our proposed method and discuss it on the basis of quantitative and qualitative experimental results.