Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | CIKM 2006 Workshop - Proceedings of WIDM 2006 |
| Untertitel | Eighth International Workshop on Web Information and Data Management |
| Herausgeber (Verlag) | Association for Computing Machinery (ACM) |
| Seiten | 59-66 |
| Seitenumfang | 8 |
| ISBN (Print) | 1595935258, 9781595935250 |
| Publikationsstatus | Veröffentlicht - 10 Nov. 2006 |
| Veranstaltung | WIDM 2006: 8th International Workshop on Web Information and Data Management, held in conjunction with the ACM 15th Conference on Information and Knowledge Management, CIKM 2006 - Arlington, VA, USA / Vereinigte Staaten Dauer: 10 Nov. 2006 → 10 Nov. 2006 |
Publikationsreihe
| Name | Proceedings of the Interntational Workshop on Web Information and Data Management |
|---|
Abstract
Searching the web has become a task in many people's work, without which subsequent tasks would be hard to carry out or even impossible. But as people tend to have less time for querying the web or even for searching their personal computer for information they need, it becomes common to skip information gathering activities like trying to find useful resources on the web because of the "effort" it takes to query a web search engine. In this paper we propose to use software agents that collect useful web specific related information which would otherwise not be viewed at all. More specifically, we present two new algorithms to automatically search the web and recommend URLs relevant to user's current work, defined through his or her active personal desktop documents. Our experiments show our proposed algorithms, Sentence Selection and Lexical Compounds, to yield significant improvement over simple Term Frequency based web query generation, which we used as a baseline.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Information systems
Zitieren
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- BibTex
- RIS
CIKM 2006 Workshop - Proceedings of WIDM 2006: Eighth International Workshop on Web Information and Data Management. Association for Computing Machinery (ACM), 2006. S. 59-66 (Proceedings of the Interntational Workshop on Web Information and Data Management).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Pushing task relevant Web links down to the desktop
AU - Chirita, Paul Alexandru
AU - Firan, Claudiu S.
AU - Nejdl, Wolfgang
PY - 2006/11/10
Y1 - 2006/11/10
N2 - Searching the web has become a task in many people's work, without which subsequent tasks would be hard to carry out or even impossible. But as people tend to have less time for querying the web or even for searching their personal computer for information they need, it becomes common to skip information gathering activities like trying to find useful resources on the web because of the "effort" it takes to query a web search engine. In this paper we propose to use software agents that collect useful web specific related information which would otherwise not be viewed at all. More specifically, we present two new algorithms to automatically search the web and recommend URLs relevant to user's current work, defined through his or her active personal desktop documents. Our experiments show our proposed algorithms, Sentence Selection and Lexical Compounds, to yield significant improvement over simple Term Frequency based web query generation, which we used as a baseline.
AB - Searching the web has become a task in many people's work, without which subsequent tasks would be hard to carry out or even impossible. But as people tend to have less time for querying the web or even for searching their personal computer for information they need, it becomes common to skip information gathering activities like trying to find useful resources on the web because of the "effort" it takes to query a web search engine. In this paper we propose to use software agents that collect useful web specific related information which would otherwise not be viewed at all. More specifically, we present two new algorithms to automatically search the web and recommend URLs relevant to user's current work, defined through his or her active personal desktop documents. Our experiments show our proposed algorithms, Sentence Selection and Lexical Compounds, to yield significant improvement over simple Term Frequency based web query generation, which we used as a baseline.
KW - Document summarization
KW - Just-in-time information retrieval
KW - Personalized Web search
KW - User profile
UR - http://www.scopus.com/inward/record.url?scp=34547626586&partnerID=8YFLogxK
U2 - 10.1145/1183550.1183563
DO - 10.1145/1183550.1183563
M3 - Conference contribution
AN - SCOPUS:34547626586
SN - 1595935258
SN - 9781595935250
T3 - Proceedings of the Interntational Workshop on Web Information and Data Management
SP - 59
EP - 66
BT - CIKM 2006 Workshop - Proceedings of WIDM 2006
PB - Association for Computing Machinery (ACM)
T2 - WIDM 2006: 8th International Workshop on Web Information and Data Management, held in conjunction with the ACM 15th Conference on Information and Knowledge Management, CIKM 2006
Y2 - 10 November 2006 through 10 November 2006
ER -