Recommendations for personalization rules in block composer
Mattioli A., Paterno F.
Recommender systems Personalization rules Sequence-based recommendations
This paper reports about a possible approach to integrating a recommendation system (RS) for giving support to users during the creation of Internet of Things (IoT) personalization rules on the Block Composer tailoring environment. Recommending for end-user creation of rules requires a specific way to model the problem different from a user-item matrix filling approach. The items to be recommended (trigger-action rules) are not unitary objects but are composed of several parts, assembled in a step-bystep process. This feature makes recommendations for this end-user development (EUD) approach similar to the sequence-based recommender systems and can be exploited to provide more suitable suggestions.
Source: EMPATHY 2020 Empowering People in Dealing with Internet of Things Ecosystems, pp. 41–44, Evento online, 29/09/2020
Publisher: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen., Aachen, Germania
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@inproceedings{oai:it.cnr:prodotti:444211,
title = {Recommendations for personalization rules in block composer},
author = {Mattioli A. and Paterno F.},
publisher = {M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen., Aachen, Germania},
booktitle = {EMPATHY 2020 Empowering People in Dealing with Internet of Things Ecosystems, pp. 41–44, Evento online, 29/09/2020},
year = {2020}
}
0000-0001-6766-7916