PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Learning to Learn Implicit Queries from Gaze Patterns
Kai Puolamäki, Antti Ajanki and Samuel Kaski
In: ICML 2008, 6-8 July 2008, Helsinki, Finland.

Abstract

In the absence of explicit queries, an alternative is to try to infer users’ interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, formulated as an implicit query, can then be used in further searches. We formulate this task as a probabilistic model, which can be interpreted as a kind of transfer or meta-learning. The probabilistic model is demonstrated to outperform an earlier kernel-based method in a small-scale information retrieval task.

EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:4274
Deposited By:Antti Ajanki
Deposited On:14 February 2009