Collaborative querying using a hybrid content and results based query clustering approach
This dissertation proposes an extended K-means query clustering approach to cluster user queries utilizing both query terms and result, i.e. result URL, title and snippet from query result list. Similarities between queries are defined as content-based, results-based and hybrid approach or combinati...
Saved in:
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Theses and Dissertations |
| 出版: |
2008
|
| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/1854 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | This dissertation proposes an extended K-means query clustering approach to cluster user queries utilizing both query terms and result, i.e. result URL, title and snippet from query result list. Similarities between queries are defined as content-based, results-based and hybrid approach or combination of both content-based and results-based. |
|---|