Trinity College Dublin, Department of Computer Science
Coyle, Lorcan; Cunningham, Pádraig. 'Improving Recommendation Ranking by Learning Personal Feature Weights'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2004-21, 2004, pp13
Computer Science Technical Report TCD-CS-2004-21
The ranking of offers is an issue in e-commerce that has received a
lot of attention in Case-Based Reasoning research. In the absence of a sales
assistant, it is important to provide a facility that will bring suitable products
and services to the attention of the customer. In this paper we present such a
facility that is part of a Personal Travel Assistant (PTA) for booking flights
online. The PTA returns a large number of offers (24 on average) and it is
important to rank them to bring the most suitable to the fore. This ranking is
done based on similarity to previously accepted offers. It is a characteristic of
this domain that the case-base of accepted offers will be small, so the learning
of appropriate feature weights is a particular challenge. We describe a process
for learning personalised feature weights and present an evaluation that shows
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