Modeling online user product interest for recommender systems and ergonomics studies

被引：18

作者：

Sulikowski, Piotr ^{[1
]}

Zdziebko, Tomasz ^{[2
]}

Turzynski, Dominik ^{[3
]}

机构：

[1] West Pomeranian Univ Technol, Fac Comp Sci & Informat Technol, Ul Zolnierska 49, PL-71210 Szczecin, Poland

[2] Univ Szczecin, Fac Econ & Management, Ul Mickiewicza 64, PL-71101 Szczecin, Poland

[3] Pomeranian Med Univ, Fac Med Sci, Ul Zolnierska 48, PL-71210 Szczecin, Poland

来源：

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2019年 / 31卷 / 22期

关键词：

behavior indicators; computed indicators; ergonomics enhancement; human-computer interaction; preference modeling; recommender systems; BEHAVIOR;

D O I：

10.1002/cpe.4301

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页数：9

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