Kód: 45786599
Collaborative filtering (CF) is a popular recommendation approach that has been extensively researched over the last two decades, resulting in a diverse set of algorithms and a large collection of tools to evaluate their performan ... celý popis
Angličtina
54.38 €
Bežne: 63.73 €
Ušetríte 9.35 €

Nákupom získate 131 bodov
Anotácia knihy
Collaborative filtering (CF) is a popular recommendation approach that has been extensively researched over the last two decades, resulting in a diverse set of algorithms and a large collection of tools to evaluate their performance. This research proposes a new recommendation approach to deal with the problems of grey sheep and data sparsity, with the aim of improving prediction accuracy by inferring new users from existing users in datasets. This transformation creates users with preferences opposite to those of real users, thereby increasing the number of users and solving the two problems mentioned. The performance of this approach has been evaluated using two datasets, MovieLens and FilmTrust. Overall, this book contributes to the development of better recommender systems capable of overcoming the challenges of data overload and improving user experience.
Parametre knihy
54.38 €
Angličtina
Osobný odber Bratislava a 12792 dalších
Copyright ©2008-26 najlacnejsie-knihy.sk Všetky práva vyhradenéSúkromieCookies
24 miliónov titulov
Vrátenie do mesiaca
02/210 210 99 (8-15.30h)Nákupný košík ( prázdny )