Collaborative Filtering Recommender Systems

Collaborative Filtering Recommender Systems
Author: Michael D. Ekstrand
Publisher: Now Publishers Inc
Total Pages: 104
Release: 2011
Genre: Computers
ISBN: 1601984421


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Collaborative Filtering Recommender Systems discusses a wide variety of the recommender choices available and their implications, providing both practitioners and researchers with an introduction to the important issues underlying recommenders and current best practices for addressing these issues.


Collaborative Filtering Recommender Systems
Language: en
Pages: 104
Authors: Michael D. Ekstrand
Categories: Computers
Type: BOOK - Published: 2011 - Publisher: Now Publishers Inc

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Collaborative Filtering Recommender Systems discusses a wide variety of the recommender choices available and their implications, providing both practitioners a
The Adaptive Web
Language: en
Pages: 770
Authors: Peter Brusilovski
Categories: Computers
Type: BOOK - Published: 2007-04-24 - Publisher: Springer Science & Business Media

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This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for re
Soft Computing for Problem Solving
Language: en
Pages: 980
Authors: Kedar Nath Das
Categories: Technology & Engineering
Type: BOOK - Published: 2019-11-27 - Publisher: Springer Nature

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This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint
Collaborative Filtering Using Data Mining and Analysis
Language: en
Pages: 336
Authors: Bhatnagar, Vishal
Categories: Computers
Type: BOOK - Published: 2016-07-13 - Publisher: IGI Global

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Internet usage has become a normal and essential aspect of everyday life. Due to the immense amount of information available on the web, it has become obligator
Recommender Systems
Language: en
Pages: 518
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2016-03-28 - Publisher: Springer

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This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their pr