Abstract
The explosion of collaborative tagging data nowadays prompts an urgent demand upon Web 2.0 communities in assisting users to search interested resources quickly and effectively. Such a requirement entails much research on utilization of tag-based user and resource profiles so as to provide a personalized search in folksonomies. However, one major shortage for existing methods is their uniform treatment of user profile in the same way for each query, hence the search context for each query is ignored. In this paper, we focus on addressing this problem by modeling the search context. To capture and understand user intention, a nested context model is proposed. Furthermore, we conduct the experimental evaluation upon a real life data set, and the experimental result demonstrates that our approach is more effective than baselines.
| Original language | English |
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| Title of host publication | Web Technologies and Applications - 14th Asia-Pacific Web Conference Proceedings |
| Editors | Quan Z. SHENG, Guoren WANG, Christian S. JENSEN, Guandong XU |
| Place of Publication | Berlin |
| Publisher | Springer Berlin Heidelberg |
| Pages | 97-108 |
| Number of pages | 12 |
| Volume | 7235 |
| ISBN (Electronic) | 9783642292538 |
| ISBN (Print) | 9783642292521 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | The 14th Asia-Pacific Web Conference - Kunming, China Duration: 11 Apr 2012 → 13 Apr 2012 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=17484 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 7235 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | The 14th Asia-Pacific Web Conference |
|---|---|
| Abbreviated title | APWeb 2012 |
| Country/Territory | China |
| City | Kunming |
| Period | 11/04/12 → 13/04/12 |
| Internet address |