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- W112437731 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." @default.
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- W112437731 date "2014-01-01" @default.
- W112437731 modified "2023-09-26" @default.
- W112437731 title "Text-Based User-kNN: Measuring User Similarity Based on Text Reviews" @default.
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- W112437731 doi "https://doi.org/10.1007/978-3-319-08786-3_17" @default.
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