Abstract
Current Web search engines generally impose link analysis-based re-ranking on web-page retrieval. However, the same techniques, when applied directly to small web search such as intranet and site search, cannot achieve the same performance because their link structures are different from the global Web. In this paper, we propose an approach to constructing implicit links by mining users' access patterns, and then apply a modified PageRank algorithm to re-rank web-pages for small web search. Our experimental results indicate that the proposed method outperforms content-based method by 16%, explicit link-based PageRank by 20% and DirectHit by 14%, respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 56-63 |
| Journal | SIGIR Forum (ACM Special Interest Group on Information Retrieval) |
| Issue number | SPEC. ISS. |
| DOIs | |
| Publication status | Published - 2003 |
| Externally published | Yes |
| Event | Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada Duration: 28 Jul 2003 → 1 Aug 2003 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Information retrieval
- Link analysis
- Log mining
- Web search