Collaborative Recommendations: Algorithms, Practical Challenges and Applications
| AUTHOR | Tikk, Domonkos; Cantador, Ivan; Berkovsky, Shlomo et al. |
| PUBLISHER | World Scientific Publishing Company (01/09/2019) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
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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Product Format
Product Details
ISBN-13:
9789813275348
ISBN-10:
9813275340
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
736
Carton Quantity:
10
Product Dimensions:
6.00 x 1.56 x 9.00 inches
Weight:
2.52 pound(s)
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Programming - Algorithms
Descriptions, Reviews, Etc.
publisher marketing
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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List Price $268.00
Your Price
$265.32