Description: About this Item The item is a book paperback or softback The Author Name is Symeonidis, Panagiotis,Zioupos, Andreas The Title is Matrix and Tensor Factorization Techniques for Recommender Systems Condition New Other Comments Pages Count - 110. Binding type - Perfect. Content Language - English Category - COMPUTERS / System Administration / Storage & Retrieval MATHEMATICS / Applied COMPUTERS / Data Science / General We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166038797
Price: 97.29 USD
Location: US
End Time: 2024-11-15T09:54:02.000Z
Shipping Cost: 0 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / System Administration / Storage Retrieval
Brand: SPRINGER
Weight: 0.17
Style: NA
Title: Matrix and Tensor Factorization Techniques for Recommender System
Release Title: Matrix and Tensor Factorization Techniques for Recommender System
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Matrix and Tensor Factorization Techniques for Recommender Syste
Colour: NA
Material: NA
Department: NA
Binding Type: Perfect
Item Height: 5.84
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: VI, 102 Pages
Language: English
Publication Name: Matrix and Tensor Factorization Techniques for Recommender Systems
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Computer Science, System Administration / Storage & Retrieval, Applied
Item Weight: 62.3 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Andreas Zioupos, Panagiotis Symeonidis
Series: Springerbriefs in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
