Social Media Analytics for User Behavior Modeling - A Task Heterogeneity Perspective (Hardcover)

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Data-Enabled Engineering
Release date:	2020
First published:	2020
Authors:	Arun Reddy Nelakurthi • Jingrui He
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	114
ISBN-13:	978-0-367-21158-5
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > Social & legal aspects of computing > General Books > Social sciences > Psychology > Psychological methodology > General Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal behaviour Books > Professional & Technical > Technology: general issues > Technical design > Ergonomics Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	0-367-21158-0
Barcode:	9780367211585

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