Details
| Original language | English |
|---|---|
| Title of host publication | HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 27-36 |
| Number of pages | 10 |
| ISBN (print) | 9781450302562 |
| Publication status | Published - 6 Jun 2011 |
Publication series
| Name | HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia |
|---|
Abstract
A considerable amount of our activities on the Web involves revisits to pages or sites. Reasons for revisiting include active monitoring of content, verification of information, regular use of online services, and reoccurring tasks. Browsers support for revisitation is mainly focused on frequently and recently visited pages. In this paper we present a dynamic browser toolbar that provides recommendations beyond these usual suspects, balancing diversity and relevance. The recommendation method used is a combination of ranking and propagation methods. Experimental out-comes show that this algorithm performs significantly better than the baseline method. Further experiments address the question whether it is more appropriate to recommend specific pages or rather (portal pages of) Web sites. We conducted two user studies with a dynamic toolbar that relies on our recommendation algorithm. In this context, the out-comes confirm that users appreciate and use the contextual recommendations provided by the toolbar.
Keywords
- Contextual support, Revisitation prediction, Web behavior
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Software
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HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia. Association for Computing Machinery (ACM), 2011. p. 27-36 (HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Beyond the usual suspects
T2 - Context-aware revisitation support
AU - Kawase, Ricardo
AU - Papadakis, George
AU - Herder, Eelco
AU - Nejdl, Wolfgang
PY - 2011/6/6
Y1 - 2011/6/6
N2 - A considerable amount of our activities on the Web involves revisits to pages or sites. Reasons for revisiting include active monitoring of content, verification of information, regular use of online services, and reoccurring tasks. Browsers support for revisitation is mainly focused on frequently and recently visited pages. In this paper we present a dynamic browser toolbar that provides recommendations beyond these usual suspects, balancing diversity and relevance. The recommendation method used is a combination of ranking and propagation methods. Experimental out-comes show that this algorithm performs significantly better than the baseline method. Further experiments address the question whether it is more appropriate to recommend specific pages or rather (portal pages of) Web sites. We conducted two user studies with a dynamic toolbar that relies on our recommendation algorithm. In this context, the out-comes confirm that users appreciate and use the contextual recommendations provided by the toolbar.
AB - A considerable amount of our activities on the Web involves revisits to pages or sites. Reasons for revisiting include active monitoring of content, verification of information, regular use of online services, and reoccurring tasks. Browsers support for revisitation is mainly focused on frequently and recently visited pages. In this paper we present a dynamic browser toolbar that provides recommendations beyond these usual suspects, balancing diversity and relevance. The recommendation method used is a combination of ranking and propagation methods. Experimental out-comes show that this algorithm performs significantly better than the baseline method. Further experiments address the question whether it is more appropriate to recommend specific pages or rather (portal pages of) Web sites. We conducted two user studies with a dynamic toolbar that relies on our recommendation algorithm. In this context, the out-comes confirm that users appreciate and use the contextual recommendations provided by the toolbar.
KW - Contextual support
KW - Revisitation prediction
KW - Web behavior
UR - http://www.scopus.com/inward/record.url?scp=79960178489&partnerID=8YFLogxK
U2 - 10.1145/1995966.1995974
DO - 10.1145/1995966.1995974
M3 - Conference contribution
AN - SCOPUS:79960178489
SN - 9781450302562
T3 - HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia
SP - 27
EP - 36
BT - HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia
PB - Association for Computing Machinery (ACM)
ER -