On Producing Accurate Rating Predictions in Sparse Collaborative Filtering Datasets

The typical goal of a collaborative filtering algorithm is the minimisation of the deviation between rating predictions and factual user ratings so that the recommender system offers suggestions for appropriate items, achieving a higher prediction value. The datasets on which collaborative filtering...

詳細記述

書誌詳細

主要な著者:	Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-06-01
シリーズ:	Information
主題:	recommender systems personalisation collaborative filtering sparse datasets rating prediction reliability
オンライン･アクセス:	https://www.mdpi.com/2078-2489/13/6/302
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!