Name: Privacy Risks for Memory-based CF Recommender System (en Inglés)
SKU: 57556607
Price: 72860.00 CLP
Availability: InStock
Author: Abid, Usra
ISBN: 9786202526203

portada Privacy Risks for Memory-based CF Recommender System (en Inglés)

Privacy Risks for Memory-based CF Recommender System (en Inglés)

Formato

Libro Físico

Autor

Usra Abid

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

100

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.6 cm

Peso

0.16 kg.

ISBN13

9786202526203

Categorías

Tecnología de la información: cuestiones generales

Privacy Risks for Memory-based CF Recommender System (en Inglés)

Usra Abid (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Privacy Risks for Memory-based CF Recommender System (en Inglés)"

Recommender systems have become very popular in recent years and are used in different fields of technology. Memory-based Collaborative Filtering (CF) Recommender System is a quickly progressing study area and proved to be doing well for different types of recommender system. Memory-based CF recommends items based on the entire collection of items or products which have been rated by users previously. CF recommender system tries to provide the most suitable recommendations on products or services based on rating items which can either be explicit or implicit and accuracy of prediction depend on the data provided by users. When CF generates recommendations or predictions on the basis of neighbors in memory known as Memory based CF. In this study, we have discussed a major challenge for the recommender system that has direct access to user data that leads to privacy risk and may become the cause of attacks and other risks. Leading to the above challenges, we have conducted acomprehensive survey of different risks and analyzed them critically. Moreover, we have investigated the existing state-of-the-art approaches which are being used to address such challenges.