Computational Statistics & Data Analysis - Data analysis and inference in nonstandard settings
Learning to recommend from positive evidence
Proceedings of the 5th international conference on Intelligent user interfaces
A Generalised Approach to Similarity-Based Retrieval in Recommender Systems
Artificial Intelligence Review
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Learning Feature Weights from Customer Return-Set Selections
Knowledge and Information Systems
Feature weighting in content based recommendation system using social network analysis
Proceedings of the 17th international conference on World Wide Web
A graphical shopping interface based on product attributes
Decision Support Systems
Adaptive provision of evaluation-oriented information: tasks and techniques
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Online shopping using a two dimensional product map
EC-Web'07 Proceedings of the 8th international conference on E-commerce and web technologies
Case-based recommender systems: a unifying view
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Local learning of item dissimilarity using content and link structure
Proceedings of the sixth ACM conference on Recommender systems
| Hi-index | 0.00 |
In content- and knowledge-based recommender systems often a measure of (dis)similarity between items is used. Frequently, this measure is based on the attributes of the items. However, which attributes are important for the users of the system remains an important question to answer. In this paper, we present an approach to determine attribute weights in a dissimilarity measure using clickstream data of an e-commerce website. Counted is how many times products are sold and based on this a Poisson regression model is estimated. Estimates of this model are then used to determine the attribute weights in the dissimilarity measure. We show an application of this approach on a product catalog of MP3 players provided by Compare Group, owner of the Dutch price comparison site http://www.vergelijk.nl, and show how the dissimilarity measure can be used to improve 2D product catalog visualizations.