Könyv Recommendation Systems based on Collaborative Filtering Mohammed Benbrahim

Recommendation Systems based on Collaborative Filtering

New approaches. DE

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
20 187 Ft
Collaborative filtering (CF) is a popular recommendation approach that has been extensively research...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
100
EAN
9786207429196
Enbook ID
45786599
Súly
167
Méretek
150 x 220

Teljes leírás

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.

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