Product discovery via recommendation based on user comments
Recommendation systems on E-commerce websites help consumers to find products. A recommendation system learns consumer behavior in order to suggest products to those consumers. Recommendation systems allow consumers to have new experiences discovering new products rather than needing to search for t...
Saved in:
Main Authors: | Walailak Kamlor, Kenneth Cosh |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84902440612&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53303 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Product discovery via recommendation based on user comments
by: Walailak Kamlor, et al.
Published: (2018) -
Product discovery via recommendation based on user comments
by: Kamlor W., et al.
Published: (2014) -
Analysis of User Groups for Assistance Systems in Production 4.0
by: B. G. Mark, et al.
Published: (2020) -
On automatically extracting discoveries from user generated content
by: Cosh,K.J.
Published: (2015) -
Social media marketing evaluation using social network comments as an indicator for identifying consumer purchasing decision effectiveness
by: Supond Boon-Long, et al.
Published: (2018)