Investigating users’ eye movement behavior in critiquing-based recommender systems-Reference-Cited by-同舟云学术

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Investigating users’ eye movement behavior in critiquing-based recommender systems

Published:2017-07-12 Issue:3-4 Volume:30 Page:207-222
ISSN:1875-8452
Container-title:AI Communications
language:
Short-container-title:AIC

Author:

Chen Li¹,Wang Feng¹,Pu Pearl²

Affiliation:

1. Department of Computer Science, Hong Kong Baptist University, Hong Kong, China. E-mails: lichen@comp.hkbu.edu.hk, fwang@comp.hkbu.edu.hk

2. Human Computer Interaction Group, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. E-mail: pearl.pu@epfl.ch

Publisher

IOS Press

Subject

Artificial Intelligence

Reference57 articles.

1. Mining association rules between sets of items in large databases

2. Can eyes reveal interest? Implicit queries from gaze patterns;Ajanki;User Modeling and User-Adapted Interaction,2009

3. Increasing the user's attention on the web

4. Scrolling behaviour with single- and multi-column layout

5. Case-based recommender systems;Bridge;The Knowledge Engineering Review,2005

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1. Is This Really Relevant? A Guide to Best Practice Gaze-based Relevance Prediction Research;Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization;2021-06-21

2. Deep Learning-Enhanced Framework for Performance Evaluation of a Recommending Interface with Varied Recommendation Position and Intensity Based on Eye-Tracking Equipment Data Processing;Electronics;2020-02-05

3. User Modeling Using User Preference and User Life Pattern Based on Personal Bio Data and SNS Data;J INF PROCESS SYST;2019

4. Eye-tracking and social behavior preference-based recommendation system;The Journal of Supercomputing;2018-05-30

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