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Context-Aware Ranking with Factorization Models
Steffen Rendle
€ 131.39
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Description for Context-Aware Ranking with Factorization Models
Hardback. Context-aware ranking is an important task in search engine ranking. This book presents a generic method for context-aware ranking as well as its application. It applies this general theory to the three scenarios of item, tag and sequential-set recommendation. Series: Studies in Computational Intelligence. Num Pages: 180 pages, biography. BIC Classification: TBC; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 451.
Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for context are the user for recommender systems and the query for search engines. More complicated context includes time, last actions, etc. The major problem is that typically the variable domains (e.g. customers, products) are categorical and huge, the observations are very sparse and only positive events are observed. In this book, a generic method ... Read more
Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for context are the user for recommender systems and the query for search engines. More complicated context includes time, last actions, etc. The major problem is that typically the variable domains (e.g. customers, products) are categorical and huge, the observations are very sparse and only positive events are observed. In this book, a generic method ... Read more
Product Details
Format
Hardback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
180
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
180
Place of Publication
Berlin, Germany
ISBN
9783642168970
SKU
V9783642168970
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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