Conducting User Experiments in Recommender Systems

被引：0

作者：

Knijnenburg, Bart P. ^{[1
]}

Malthouse, Edward C. ^{[2
,3
]}

机构：

[1] Clemson Univ, Sch Comp, Clemson, SC 29634 USA

[2] Northwestern Univ, Dept Integrated Mkt Commun, Evanston, IL USA

[3] Northwestern Univ, Dept Ind Engn & Management Sci, Evanston, IL USA

来源：

PROCEEDINGS OF THE EIGHTEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2024 | 2024年

基金：

美国国家科学基金会;

关键词：

recommender systems; user studies;

D O I：

10.1145/3640457.3687090

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This tutorial provides practical training in designing and conducting online user experiments with recommender systems, and in statistically analyzing the results of such experiments. It covers the development of a research question and hypotheses, the selection of study participants, the manipulation of system aspects and measurement of behaviors, perceptions and user experiences, and the evaluation of subjective measurement scales and study hypotheses. Interested parties can find the slides, example datset, and other resources at https://www.usabart.nl/QRMS/.

引用

页码：1272 / 1273

页数：2

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