Paper Info
Title
Investigation of recommendation method considering region-restrictedness of spots
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.
Year
DOI
Venue
2011
10.1007/978-3-642-19173-2_5
W2GIS
Keywords
Field
DocType
restricted area,region-restrictedness score,high region-restrictedness,promotional description,amusement facility,recommendation method,previous work,qualitative experimental result,home area,local search
Spots,Data mining,World Wide Web,Computer science,Tourism,Amusement,Attraction,Local search (optimization)
Conference
Volume
ISSN
Citations 
6574
0302-9743
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Kenta Oku18414.81
Fumio Hattori216426.81