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Designing Human-Readable User Profiles for Search Evaluation

Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, and Susan T. Dumais

Abstract

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.

Details

Publication typeInproceedings
Published inShort-paper in Proceedings of the 35th ACM European Conference on Information Retrieval (ECIR '13)
URLhttp://research.microsoft.com/en-us/um/people/pauben/papers/ecir2013-profile-based-judgments.pdf
PublisherLecture Notes in Computer Science
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