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- W2021983071 abstract "In this paper, we propose a technique to automatically describe items based on users' reviews in order to be used by recommender systems. For that, we extract items' features using a robust term extraction method that applies transductive semi-supervised learning to automatically identify aspects that represent the different subjects of the reviews. Then, we apply sentiment analysis in a sentence level to indicate the polarities, yielding a consensus of users regarding the features of items. Our approach is evaluated using a collaborative filtering method, and comparisons using structured metadata as baselines show promising results." @default.
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- W2021983071 date "2014-11-18" @default.
- W2021983071 modified "2023-10-18" @default.
- W2021983071 title "Generating Recommendations Based on Robust Term Extraction from Users' Reviews" @default.
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- W2021983071 doi "https://doi.org/10.1145/2664551.2664583" @default.
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