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Modeling online user product interest for recommender systems and ergonomics studies
Author(s) -
Sulikowski Piotr,
Zdziebko Tomasz,
Turzyński Dominik
Publication year - 2017
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4301
Subject(s) - usability , recommender system , computer science , decision tree , product (mathematics) , adaptation (eye) , generalization , human–computer interaction , random forest , user interface , world wide web , information retrieval , data mining , machine learning , mathematics , mathematical analysis , physics , geometry , optics , operating system
Summary This paper presents use of a tool built to monitor human‐website interaction without the need for eye tracking. Behavior indicators calculated from data collected by the tool can be used for many purposes such as web ergonomics enhancement, content adaptation, and, in particular, recommender systems. A random‐forests‐based modeling approach is shown as a generalization for earlier decision‐tree classification approach. Results of a usability survey conducted within the study are presented.