An efficient indexing for top-k query answering in location-based recommendation system
Location-based recommendation systems are obtaining interests from both the business and research communities recently. In this paper, we propose an indexing approach to improve the efficiency of the top-k query answering for a prominent location-based recommendation model, User-centered collaborati...
Saved in:
Main Authors: | Sudarat Yawutthi, Juggapong Natwichai |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904490800&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53392 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
An efficient indexing for top-k query answering in location-based recommendation system
by: Sudarat Yawutthi, et al.
Published: (2018) -
Efficient data update for location-based recommendation systems
by: Narin Jantaraprapa, et al.
Published: (2018) -
Answering Why-not Questions on Reverse Top-k Queries
by: GAO, Yunjun, et al.
Published: (2015) -
Answering why-not and why questions on reverse top-k queries
by: LIU, Qing, et al.
Published: (2016) -
Indexable Bayesian personalized ranking for efficient top-k recommendation
by: LE, Dung D., et al.
Published: (2017)