Name
Abstract | ||
|---|---|---|
User models are important tools for personalization, especially in ecommerce applications. But capturing dynamically changing user needs is a challenge. One of the reasons for such difficulty is that the purchasing behavior of an individual is based on a number of different aspects. In this paper we identify these aspects as a combination of demographics, domain based expectations and transactions. Since each individual can demonstrate a unique combination of these aspects, to achieve finer personalization, such individuality will have to be captured in user models. In this paper we propose such a user model architecture, which also has the ability to self-improve adapting to changes of individual behavior and long term modeling possibilities. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74563-1_11 | EC-Web |
Keywords | Field | DocType |
capturing buying behaviour,different aspect,individual behavior,user model architecture,ecommerce application,unique combination,finer personalization,user need,layered user model,purchasing behavior,important tool,user model | Electronic program guide,Architecture,Computer science,Human–computer interaction,Purchasing,Demographics,User modeling,Computer user satisfaction,User interface design,Database,Personalization | Conference |
Volume | ISSN | ISBN |
4655 | 0302-9743 | 3-540-74562-9 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oshadi Alahakoon | 1 | 7 | 2.46 |
| Seng Loke | 2 | 74 | 4.72 |
| Arkady Zaslavsky | 3 | 1133 | 81.03 |