Recommender systems : the textbook /: the textbook. (2016)
- Record Type:
- Book
- Title:
- Recommender systems : the textbook /: the textbook. (2016)
- Main Title:
- Recommender systems : the textbook
- Further Information:
- Note: Charu C. Aggarwal.
- Authors:
- Aggarwal, Charu C
- Contents:
- An Introduction to Recommender Systems -- Neighborhood-Based Collaborative Filtering -- Model-Based Collaborative Filtering -- Content-Based Recommender Systems -- Knowledge-Based Recommender Systems -- Ensemble-Based and Hybrid Recommender Systems -- Evaluating Recommender Systems -- Context-Sensitive Recommender Systems -- Time- and Location-Sensitive Recommender Systems -- Structural Recommendations in Networks -- Social and Trust-Centric Recommender Systems -- Attack-Resistant Recommender Systems -- Advanced Topics in Recommender Systems.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (xxi, 498 pages), illustrations (some color)
- Subjects:
- 005.5/6
Computer science
Recommender systems (Information filtering)
Recommender systems (Information filtering)
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Data mining
Artificial intelligence
Computers -- Database Management -- Data Mining
Data mining
Electronic books - Languages:
- English
- ISBNs:
- 9783319296593
3319296590 - Related ISBNs:
- 9783319296579
3319296574 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed April 8, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.344354
- Ingest File:
- 01_296.xml