Name
Abstract | ||
|---|---|---|
When people are seeking information they are interested in, they need time, need to know exactly what they are looking for and require attention capacities to check different sources. Recommender systems help to overcome the information overflow and filter out irrelevant sources by comparing different types of information and selecting the best results in consideration of customer preferences. Therefore accurate customer profiles are necessary which nowadays do not exist. In a mobile environment customers are not willing to spend time on disclosing their preferences; maybe they are not aware of them or have difficulties to respond to system requests. The paper in hand follows recommendations by critiquing to improve profiling quality but instead of collecting information, the transparent communication of profile extensions is focused. The customer can add preferences to his profile without explicitly expressing. Furthermore, the connection between proposed preferences and the systems conclusion behind is visible. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1297231.1297274 | RecSys |
Keywords | Field | DocType |
systems conclusion,transparent communication,recommender system,attention capacity,profile extension,information overflow,different source,mobile environment customer,accurate customer profile,different type,profile attribute,customer preference,profiling | Recommender system,World Wide Web,Preference elicitation,Profiling (computer programming),Computer science,Need to know | Conference |
Citations | PageRank | References |
3 | 0.41 | 7 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mike Radmacher | 1 | 18 | 3.92 |