An evaluation of page segment recommendation system using user's notes and N-Gram models
© 2015 IEEE. Web content searching is a daily activity of almost everyone. Often, it occurs several times a day. A number of people need to make sense out of a huge amount of webpages in order to complete their jobs. Many others also have to rely on it. A number of research works in sensemaking have...
Saved in:
Main Authors: | Burin Thunnom, Lachana Ramingwong |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84961783266&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54317 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
An evaluation of page segment recommendation system using user's notes and N-Gram models
by: Burin Thunnom, et al.
Published: (2018) -
Page segment recommendation using N-gram for sensemaking tasks based on note taking
by: Burin Thunnom, et al.
Published: (2018) -
Page segment recommendation using N-gram for sensemaking tasks based on note taking
by: Burin Thunnom, et al.
Published: (2018) -
Factors supporting user interface design of mobile government application
by: Pinnaree Kureerung, et al.
Published: (2019) -
User-specific recommender systems: from data to model
by: Lin, Zhuoyi
Published: (2022)