Hybrid Recommender System for Web Usage Mining

Language: English

Published by LAP LAMBERT Academic Publishing, 2017

3330055561 / 9783330055568

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Recommender System is a wide area that has many sub fields that require a deep understanding and great research efforts. In particular the main aspects are: information inputs that are used by the algorithm that impacts the recommendations, algorithms that are hidden background and run the recommendation engine to predict the user's preferences, evaluation metrics that defines the satisfaction of the user and the quality of the recommendations.The sole dependency on user profile based on navigation history alone cannot promise the quality of recommendations in terms of accuracy and diversity because of lack of semantics in the processing. The time parameter in recommender systems should be considered on top of conceptual semantics as it has a great influence on item's popularity and user's preferences. The traditional evaluating metrics could not able to deal cold-start problem, that occurs with new users and new or less popular items in the web domain, because of the traditional filtering methods that mix up all users and items with same intent.…

Seller Inventory # 9783330055568

Title
Hybrid Recommender System for Web Usage Mining
Author
Venu Gopalachari Mukkamula
Publisher
LAP LAMBERT Academic Publishing
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330055561
ISBN 13
9783330055568
Item weight
179 grams
Dimensions
220x150x8 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

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