Name
Abstract | ||
|---|---|---|
The importance of effective customer assistance technolo- gies is imperative in today's online marketplace where users are oftentimes overwhelmed by the product choices available to them. Relating their subjective preferences to the pre- cise product descriptions poses an additional challenge, one which leads us to look at how research from two complimen- tary research communities (recommender systems and intelli- gent user interfaces) can be married to improve online recom- mender systems. In particular, we are interested in content- based recommendation domains that rely heavily on explicit feature-level feedback to narrow the number of relevant prod- ucts for a user. A user's inability or unwillingness to provide detailed fine-grained information challenges applications in these domains and as such the way in which products are presented to the users and how these products are selected for presentation must adapt to suit this type of domain and user. Here we introduce the iCARE System, which provides an combination of product visualization techniques and addi- tions to the current methods of user preference extraction to recommend suitable eyeglasses to individual users. |
Year | Venue | Keywords |
|---|---|---|
2006 | FLAIRS Conference | intelligent user interfaces,preference elicitation,e-commerce applica- tions.,conversational recom- mendation,recommender system,e commerce,user interface |
Field | DocType | Citations |
Recommender system,Eyewear,Computer science,Visualization,Human–computer interaction,User interface design,User interface,Multimedia,Creative visualization | Conference | 0 |
PageRank | References | Authors |
0.34 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Doody | 1 | 1 | 0.71 |
| Edwin Costello | 2 | 1 | 1.05 |
| Lorraine Mcginty | 3 | 687 | 48.17 |
| Barry Smyth | 4 | 5711 | 414.55 |