Details
| Original language | English |
|---|---|
| Title of host publication | WWW 2014 Companion |
| Subtitle of host publication | Proceedings of the 23rd International Conference on World Wide Web |
| Pages | 559-560 |
| Number of pages | 2 |
| ISBN (electronic) | 9781450327459 |
| Publication status | Published - 7 Apr 2014 |
| Event | 23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of Duration: 7 Apr 2014 → 11 Apr 2014 |
Publication series
| Name | WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web |
|---|
Abstract
One of the core challenges of automatically creating Social Web summaries is to decide which posts to remember, i.e., to consider for summary inclusion and which to forget. Keeping everything would overwhelm the user and would also neglect the often intentionally ephemeral nature of SocialWeb posts. In this paper, we analyze high-impact features that characterize memorable posts as a first step for this selection process. Our work is based on a user evaluation for discovering human expectations towards content retention.
Keywords
- Content retention, Feature analysis, Managed forgetting, Social web application
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Software
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WWW 2014 Companion : Proceedings of the 23rd International Conference on World Wide Web. 2014. p. 559-560 (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Characterizing high-impact features for content retention in social web applications
AU - Naini, Kaweh Djafari
AU - Kawase, Ricardo
AU - Kanhabua, Nattiya
AU - Niederée, Claudia
PY - 2014/4/7
Y1 - 2014/4/7
N2 - One of the core challenges of automatically creating Social Web summaries is to decide which posts to remember, i.e., to consider for summary inclusion and which to forget. Keeping everything would overwhelm the user and would also neglect the often intentionally ephemeral nature of SocialWeb posts. In this paper, we analyze high-impact features that characterize memorable posts as a first step for this selection process. Our work is based on a user evaluation for discovering human expectations towards content retention.
AB - One of the core challenges of automatically creating Social Web summaries is to decide which posts to remember, i.e., to consider for summary inclusion and which to forget. Keeping everything would overwhelm the user and would also neglect the often intentionally ephemeral nature of SocialWeb posts. In this paper, we analyze high-impact features that characterize memorable posts as a first step for this selection process. Our work is based on a user evaluation for discovering human expectations towards content retention.
KW - Content retention
KW - Feature analysis
KW - Managed forgetting
KW - Social web application
UR - http://www.scopus.com/inward/record.url?scp=84937416098&partnerID=8YFLogxK
U2 - 10.1145/2567948.2576954
DO - 10.1145/2567948.2576954
M3 - Conference contribution
AN - SCOPUS:84937416098
T3 - WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
SP - 559
EP - 560
BT - WWW 2014 Companion
T2 - 23rd International Conference on World Wide Web, WWW 2014
Y2 - 7 April 2014 through 11 April 2014
ER -