Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, and Susan T. Dumais
Forming an accurate mental model of a user is crucial for the qualitative design and evaluation steps of many information-centric applications such as web search, content recommendation, or advertising. This process can often be time-consuming as search and interaction histories become verbose. In this work, we present and analyze the usefulness of concise human-readable user profiles in order to enhance system tuning and evaluation by means of user studies.
|Published in||Short-paper in Proceedings of the 35th ACM European Conference on Information Retrieval (ECIR '13)|
|Publisher||Lecture Notes in Computer Science|