NDLI: POI recommendation through cross-region collaborative filtering

Content Provider	Springer Nature Link
Author	Zhang, Chenyi Wang, Ke
Copyright Year	2015
Abstract	Recommending points of interest (POIs) to a user according to the user’s current location and past check-in activities is the focus in this paper. Previously proposed probabilistic and topic model-based methods predict the POIs based on the distribution of the POIs visited in the past, assuming that the next POI for the user follows the same distribution. Such methods tend to recommend the POIs in the cities or regions that the user has visited before because only such cities or regions have observed ratings for the user. Thus, these works are not suitable for a user who travels to a new city or region where she has not checked-in any POI previously. To address this issue, we distinguish the user preferences on the content of POIs from the user preferences on the POIs themselves. The former is long term and is independent of where POIs are located, and the latter is short term and is constrained by the proximity of the location of the POI and the user’s current location. This distinction motivates a location-independent modeling of user’s content preferences of POIs, and a location-aware modeling of user’s location preferences of POIs. The final recommendation of POIs is derived by combining the predicted rating on content and the predicted rating on location of POI. We evaluate this method using the Yelp and Foursquare data sets. This approach has superiority over the state-of-the-art and works well in the “new city” situation in which the user has not rated any of the POIs in the current region.
Starting Page	369
Ending Page	387
Page Count	19
File Format	PDF
ISSN	02191377
Journal	Knowledge and Information Systems
Volume Number	46
Issue Number	2
e-ISSN	02193116
Language	English
Publisher	Springer London
Publisher Date	2015-02-13
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	POI Cross-region Collaborative filtering Information Systems and Communication Service IT in Business
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Information Systems Human-Computer Interaction Hardware and Architecture Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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