Abstract
Search engine has been one of the most important information acquisition tools on the Web.To meet users＇ information needs,most commercial search engines rely on user behavior analysis to improve the performance of result ranking,data quality estimation,Web spam detection and other related techniques.However,these works seldom focus on long-term dynamic analysis of user behavior,which may be essential for both system architecture and user interface designing of future search techniques.Based on a large-scale user behavior data provided by a most popular Chinese search engine,search behavior between 2006 and 2011 was studied,producing many findings which may help us better understand how users grow with search engines.
| Translated title of the contribution | Dynamic Analysis of Chinese Search Engine User Behavior |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 90 - 97 |
| Journal | 中文信息学报 |
| Volume | 25 |
| Issue number | 6 |
| Publication status | Published - 15 Nov 2011 |