Elicitation of profile attributes by transparent communication

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.

Multicast and Individual Service Provisioning in Mobile TV

“…Finally, a mobile device enables interactive communication between the service provider and customer. The identification of the customer via his mobile phone allows consideration of customer context information (location, time of usage, identity) for service provisioning [10]. This means, that advertisement in mobile TV can also take place in an individual and interactive manner.…”

A Procedure of How to Conduct Research in Transparent Mobile Recommendations

“…Transparency provides a method to check if personal privacy policies are respected. Furthermore, in a mobile environment, transparency also needs a completely different way of visualization and interaction [31].…”