Efficient data update for location-based recommendation systems
Location-based recommendation systems are obtaining interests from the business and research communities. However, the efficiency of the update on the recommendation models is one of the most important issues. In this paper, we propose an efficient approach to update a recommendation model, User-cen...
Saved in:
Main Authors: | Narin Jantaraprapa, Juggapong Natwichai |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84858712083&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51536 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Efficient data update for location-based recommendation systems
by: Jantaraprapa N., et al.
Published: (2014) -
An efficient indexing for top-k query answering in location-based recommendation system
by: Sudarat Yawutthi, et al.
Published: (2018) -
An efficient indexing for top-k query answering in location-based recommendation system
by: Sudarat Yawutthi, et al.
Published: (2018) -
Efficient bulk-insertion for content-based video indexing
by: Narissa Onkhum, et al.
Published: (2018) -
Efficient ESL-Event-to-SQL translation
by: Narat Phucharoen, et al.
Published: (2018)