Social Web Artifacts for Boosting Recommenders

Name: Social Web Artifacts for Boosting Recommenders
Brand: Springer International Publishing AG
SKU: 9783319005263
Price: 39357 HUF
Availability: InStock

Theory and Implementation

Szerző: Cai-Nicolas Ziegler

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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Recommender systems, software programs that learn from human behavior and make predictions of what p...

Információk a könyvről

Szerző

Cai-Nicolas Ziegler

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2013

oldal

187

EAN

9783319005263

ISBN

331900526X

Enbook ID

05266843

Kiadó

Springer International Publishing AG

Súly

501

Méretek

155 x 235 x 18

Teljes leírás

Recommender systems, software programs that learn from human behavior and make predictions of what products we are expected to appreciate and purchase, have become an integral part of our everyday life. They proliferate across electronic commerce around the globe and exist for virtually all sorts of consumable goods, such as books, movies, music, or clothes.§At the same time, a new evolution on the Web has started to take shape, commonly known as the Web 2.0 or the Social Web : Consumer-generated media has become rife, social networks have emerged and are pulling significant shares of Web traffic. In line with these developments, novel information and knowledge artifacts have become readily available on the Web, created by the collective effort of millions of people.§This textbook presents approaches to exploit the new Social Web fountain of knowledge, zeroing in first and foremost on two of those information artifacts, namely classification taxonomies and trust networks. These two are used to improve the performance of product-focused recommender systems: While classification taxonomies are appropriate means to fight the sparsity problem prevalent in many productive recommender systems, interpersonal trust ties when used as proxies for interest similarity are able to mitigate the recommenders' scalability problem.

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Social Web Artifacts for Boosting Recommenders

Theory and Implementation

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták