Description

Book Synopsis
Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.

Collaborative Recommendations: Algorithms, Practical Challenges And Applications

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    A Hardback by Shlomo Berkovsky, Ivan Cantador, Domonkos Tikk

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      View other formats and editions of Collaborative Recommendations: Algorithms, Practical Challenges And Applications by Shlomo Berkovsky

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: Publication Date: 09/01/2019
      ISBN13: 9789813275348, 978-9813275348
      ISBN10: 9813275340

      Description

      Book Synopsis
      Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.

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