Name
Abstract | ||
|---|---|---|
Adaptive web sites have been proposed to enhance ease of navigation and information retrieval. A variety of approaches are described in the literature, but consideration of interface presentation issues and realistic user studies are generally lacking. We report here a large-scale study of sites with dynamic information collections and user interests, where adaptation is based on an Ant Colony Optimization technique. We find that most users were able to locate information effectively without needing to perform explicit searches. The behavior of users who did search was similar to that on Internet search engines. Simulations based on site and user models give insight into the adaptive behavior and correspond to observations. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1135777.1135972 | WWW |
Keywords | Field | DocType |
adaptive behavior,internet search engine,realistic user study,information retrieval,ant colony optimization technique,user interest,explicit search,adaptive web site,user model,dynamic information collection,ant colony optimization,search engine | Ant colony optimization algorithms,Internet search engines,Data mining,World Wide Web,Computer science,User modeling,User studies,Adaptive behavior | Conference |
ISBN | Citations | PageRank |
1-59593-323-9 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Doug Warner | 1 | 6 | 1.65 |
| Stephen D. Durbin | 2 | 6 | 1.65 |
| J. Neal Richter | 3 | 25 | 4.38 |
| Zuzana Gedeon | 4 | 4 | 1.22 |