Read A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains

A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains

Jörn David

4.9/5 (27471 ratings)

Description:Recommender systems assist the user in decision- making processes and automate information processing steps like the classification of artifacts. Intelligent recommendations help users to cope with the steadily growing information overload within the internet or when using information systems at their place of work, for instance. As an example, the recommendation techniques collaborative filtering and content-based filtering are mainly applied in the areas of e-Commerce and web navigation to recommend potentially relevant articles or websites. Recommender systems are either based on machine learning functions such as clustering, classification, and prediction or they are realized by symbolic methods like association rule mining, that is, by rule-based mechanisms in general. The hybrid and domain-independent framework developed in this dissertation called SymboConn is based on a recurrent neural network and provides a high generalization capability, flexibility, and robustness. We demonstrate its applicability by case studies in navigation recommendation, design pattern discovery, change impact analysis as well as time series prediction.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains. To get started finding A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 3838113756

Description: Recommender systems assist the user in decision- making processes and automate information processing steps like the classification of artifacts. Intelligent recommendations help users to cope with the steadily growing information overload within the internet or when using information systems at their place of work, for instance. As an example, the recommendation techniques collaborative filtering and content-based filtering are mainly applied in the areas of e-Commerce and web navigation to recommend potentially relevant articles or websites. Recommender systems are either based on machine learning functions such as clustering, classification, and prediction or they are realized by symbolic methods like association rule mining, that is, by rule-based mechanisms in general. The hybrid and domain-independent framework developed in this dissertation called SymboConn is based on a recurrent neural network and provides a high generalization capability, flexibility, and robustness. We demonstrate its applicability by case studies in navigation recommendation, design pattern discovery, change impact analysis as well as time series prediction.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains. To get started finding A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains

A Domain-Independent Framework for Intelligent Recommendations: Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains

More Books

Braunes Erbe: Die dunkle Geschichte der reichsten deutschen Unternehmerdynastien

Braunes Erbe: Die dunkle Geschichte der reichsten deutschen Unternehmerdynastien

Dreamers in Hell (Heroes in Hell, #16)

Dreamers in Hell (Heroes in Hell, #16)

Querido Menino: A jornada de um pai com um filho viciado

Querido Menino: A jornada de um pai com um filho viciado

People from Yellow Springs, Ohio: Coretta Scott King, Jorn Barger, Cindy Blackman, Dave Chappelle, David Wilcox, Horace Mann, Mike Dewine

People from Yellow Springs, Ohio: Coretta Scott King, Jorn Barger, Cindy Blackman, Dave Chappelle, David Wilcox, Horace Mann, Mike Dewine

Das Genie, das in uns steckt: Die Möglichkeiten der menschlichen Intelligenz (German Edition)

Das Genie, das in uns steckt: Die Möglichkeiten der menschlichen Intelligenz (German Edition)

Macaco, Uma Jornada Para O Oeste

Macaco, Uma Jornada Para O Oeste

Machine Of Death

Machine Of Death

Schlüsseltexte der Kritischen Theorie (German Edition)

Schlüsseltexte der Kritischen Theorie (German Edition)

Hond zkt. baas

Hond zkt. baas