Details
| Original language | English |
|---|---|
| Title of host publication | 16th International World Wide Web Conference, WWW2007 |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 1211-1212 |
| Number of pages | 2 |
| ISBN (print) | 1595936548, 9781595936547 |
| Publication status | Published - 8 May 2007 |
| Event | 16th International World Wide Web Conference, WWW2007 - Banff, AB, Canada Duration: 8 May 2007 → 12 May 2007 |
Publication series
| Name | 16th International World Wide Web Conference, WWW2007 |
|---|
Abstract
PageRank is known to be an efficient metric for computing general document importance in the Web. While commonly used as a one-size-fits-all measure, the ability to produce topically biased ranks has not yet been fully explored in detail. In particular, it was still unclear to what granularity of "topic" the computation of biased page ranks makes sense. In this paper we present the results of a thorough quantitative and qualitative analysis of biasing PageRank on Open Directory categories. We show that the MAP quality of Biased PageRank generally increases with the ODP level up to a certain point, thus sustaining the usage of more specialized categories to bias PageRank on, in order to improve topic specific search.
Keywords
- Biased PageRank, Open directory, Personalized search
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Software
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16th International World Wide Web Conference, WWW2007. Association for Computing Machinery (ACM), 2007. p. 1211-1212 (16th International World Wide Web Conference, WWW2007).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Utility analysis for topically biased PageRank
AU - Kohlschütter, Christian
AU - Chirita, Paul Alexandru
AU - Nejdl, Wolfgang
PY - 2007/5/8
Y1 - 2007/5/8
N2 - PageRank is known to be an efficient metric for computing general document importance in the Web. While commonly used as a one-size-fits-all measure, the ability to produce topically biased ranks has not yet been fully explored in detail. In particular, it was still unclear to what granularity of "topic" the computation of biased page ranks makes sense. In this paper we present the results of a thorough quantitative and qualitative analysis of biasing PageRank on Open Directory categories. We show that the MAP quality of Biased PageRank generally increases with the ODP level up to a certain point, thus sustaining the usage of more specialized categories to bias PageRank on, in order to improve topic specific search.
AB - PageRank is known to be an efficient metric for computing general document importance in the Web. While commonly used as a one-size-fits-all measure, the ability to produce topically biased ranks has not yet been fully explored in detail. In particular, it was still unclear to what granularity of "topic" the computation of biased page ranks makes sense. In this paper we present the results of a thorough quantitative and qualitative analysis of biasing PageRank on Open Directory categories. We show that the MAP quality of Biased PageRank generally increases with the ODP level up to a certain point, thus sustaining the usage of more specialized categories to bias PageRank on, in order to improve topic specific search.
KW - Biased PageRank
KW - Open directory
KW - Personalized search
UR - http://www.scopus.com/inward/record.url?scp=35348896033&partnerID=8YFLogxK
U2 - 10.1145/1242572.1242770
DO - 10.1145/1242572.1242770
M3 - Conference contribution
AN - SCOPUS:35348896033
SN - 1595936548
SN - 9781595936547
T3 - 16th International World Wide Web Conference, WWW2007
SP - 1211
EP - 1212
BT - 16th International World Wide Web Conference, WWW2007
PB - Association for Computing Machinery (ACM)
T2 - 16th International World Wide Web Conference, WWW2007
Y2 - 8 May 2007 through 12 May 2007
ER -