Free PDF Recommender Systems: The Textbook, by Charu C. Aggarwal
Even the rate of a book Recommender Systems: The Textbook, By Charu C. Aggarwal is so inexpensive; many individuals are truly stingy to reserve their money to acquire guides. The various other reasons are that they really feel bad and have no time to head to the book company to browse guide Recommender Systems: The Textbook, By Charu C. Aggarwal to review. Well, this is modern age; numerous books could be obtained easily. As this Recommender Systems: The Textbook, By Charu C. Aggarwal and more publications, they can be got in quite fast methods. You will not should go outside to obtain this e-book Recommender Systems: The Textbook, By Charu C. Aggarwal
Recommender Systems: The Textbook, by Charu C. Aggarwal
Free PDF Recommender Systems: The Textbook, by Charu C. Aggarwal
Use the innovative technology that human creates now to locate the book Recommender Systems: The Textbook, By Charu C. Aggarwal conveniently. Yet first, we will certainly ask you, how much do you love to review a book Recommender Systems: The Textbook, By Charu C. Aggarwal Does it always till surface? For what does that book check out? Well, if you really enjoy reading, try to check out the Recommender Systems: The Textbook, By Charu C. Aggarwal as one of your reading collection. If you just reviewed the book based upon demand at the time and unfinished, you should aim to such as reading Recommender Systems: The Textbook, By Charu C. Aggarwal initially.
Getting guides Recommender Systems: The Textbook, By Charu C. Aggarwal now is not sort of challenging way. You can not simply opting for publication store or collection or borrowing from your friends to read them. This is an extremely basic way to precisely obtain guide by on-line. This on-line publication Recommender Systems: The Textbook, By Charu C. Aggarwal can be among the alternatives to accompany you when having leisure. It will not lose your time. Think me, guide will show you brand-new thing to check out. Merely spend little time to open this online book Recommender Systems: The Textbook, By Charu C. Aggarwal and review them anywhere you are now.
Sooner you get the e-book Recommender Systems: The Textbook, By Charu C. Aggarwal, sooner you could appreciate reading guide. It will be your resort to keep downloading and install guide Recommender Systems: The Textbook, By Charu C. Aggarwal in supplied web link. In this way, you could really decide that is offered to obtain your personal publication on-line. Here, be the very first to obtain the book entitled Recommender Systems: The Textbook, By Charu C. Aggarwal as well as be the initial to understand exactly how the author indicates the notification as well as expertise for you.
It will believe when you are visiting select this publication. This motivating Recommender Systems: The Textbook, By Charu C. Aggarwal e-book can be reviewed completely in specific time depending on how frequently you open up and also review them. One to keep in mind is that every e-book has their very own manufacturing to get by each visitor. So, be the great reader and be a much better person after reviewing this publication Recommender Systems: The Textbook, By Charu C. Aggarwal
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity.� The chapters of this book� are organized into three categories:
- Algorithms and evaluation:� These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation.
- Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored.
- Advanced topics and applications:� Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed.
In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications.
Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.- Sales Rank: #697982 in Books
- Published on: 2016-03-29
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 1.13" w x 7.00" l, .0 pounds
- Binding: Hardcover
- 498 pages
Most helpful customer reviews
2 of 2 people found the following review helpful.
The Best Book on Recommender Systems
By Amazon Customer
For a technical book, the writing is surprisingly clear and the content is well-organized. This book has given me enough insight to build two sophisticated recommendation engines from scratch. I like that it does not get into specific languages and frameworks. It goes deep into the essential algorithms and mathematics that power recommendation engines and elucidates many concepts that are very hard to grasp by reading other sources. It gives you enough information to know what to look for when using a third party tool or framework. This is essential reading for anyone who wants to build a custom recommendation engine and actually understand how it works.
I highly recommend it :)
2 of 2 people found the following review helpful.
clear and complete book on recommender systems.
By mlgeek
very complete book on recommender systems in nearly 500 pages of lucid writing.
Almost every major topic is studied in detail. Matrix factorization material in the book
is lovely. The book can be helpful to both newcomers and advanced readers.
0 of 0 people found the following review helpful.
It's an excellent book which explains why of things
By SB
It's an excellent book which explains why of things. What could make it even better are some numerical examples and some sample R code. Also, Kindle version has TOC(table-of-contents) not hyperlinked makes it cumbersome to navigate. Regardless, it's both a solid text & reference
Recommender Systems: The Textbook, by Charu C. Aggarwal PDF
Recommender Systems: The Textbook, by Charu C. Aggarwal EPub
Recommender Systems: The Textbook, by Charu C. Aggarwal Doc
Recommender Systems: The Textbook, by Charu C. Aggarwal iBooks
Recommender Systems: The Textbook, by Charu C. Aggarwal rtf
Recommender Systems: The Textbook, by Charu C. Aggarwal Mobipocket
Recommender Systems: The Textbook, by Charu C. Aggarwal Kindle
Tidak ada komentar:
Posting Komentar