Emotions and personality in recommender systems: tutorial

Marko Tkalcic

doi:10.1145/3240323.3241619

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Emotions and personality in recommender systems: tutorial

Conference proceeding

Peer reviewed

Emotions and personality in recommender systems: tutorial

Marko Tkalcic

Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18, pp.535-536

12th ACM Conference on Recommender Systems (RecSys 2018) (Vancouver, 01/10/2018 - 05/10/2018)

2018

DOI: https://doi.org/10.1145/3240323.3241619

Handle:

https://hdl.handle.net/10863/8132

Abstract

This tutorial addresses the acquisition of emotions and personality for recommender systems. It is composed of two parts: (i) a short theoretical overview of emotions and personality and (ii) a hands-on part, in which we will learn how to build an end-to-end system for acquiring personality and emotions for recommender systems.

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http://dl.acm.org/citation.cfm?doid=3240323.3241619View

Details

Title: Emotions and personality in recommender systems: tutorial
Creators: Marko Tkalcic
Publication Details: Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18, pp.535-536
ISBN: 978-1-4503-5901-6
Conference: 12th ACM Conference on Recommender Systems (RecSys 2018) (Vancouver, 01/10/2018 - 05/10/2018)
Publisher: ACM Press
Identifiers: 978-1-4503-5901-6
(UNIBZ)27707227
991005773249001241
Web of Science ID: WOS:000458675100106
Scopus ID: 2-s2.0-85056777672
Academic Unit: Faculty of Computer Science
Language: English
Resource Type: Conference proceeding
Author Names String: Tkalcic M

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