Text-based user-kNN:measuring user similarity based on text reviews

Terzi, Maria and Rowe, Matthew and Ferrario, Maria Angela and Whittle, Jon (2014) Text-based user-kNN:measuring user similarity based on text reviews. In: User modeling, adaptation, and personalization. Lecture Notes in Computer Science . Springer, pp. 195-206. ISBN 9783319087856

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Abstract

This article reports on a modification of the user-kNN algorithm that measures the similarity between users based on the similarity of text reviews, instead of ratings. We investigate the performance of text semantic similarity measures and we evaluate our text-based user-kNN approach by comparing it to a range of ratings-based approaches in a ratings prediction task. We do so by using datasets from two different domains: movies from RottenTomatoes and Audio CDs from Amazon Products. Our results show that the text-based userkNN algorithm performs significantly better than the ratings-based approaches in terms of accuracy measured using RMSE.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
69802
Deposited By:
Deposited On:
27 Jun 2014 10:40
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Oct 2020 08:45