The crowd against the few: Measuring the impact of expert recommendations-Reference-Cited by-同舟云学术

The crowd against the few: Measuring the impact of expert recommendations

Published:2020-11 Issue: Volume:138 Page:113345
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Herm-Stapelberg Nils,Rothlauf Franz

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference47 articles.

1. Do recommender systems manipulate consumer preferences? A study of anchoring effects;Adomavicius;Inf. Syst. Res.,2013

2. Reducing Recommender Systems Biases: An Investigation of Rating Display Designs;Adomavicius;Manag. Inf. Syst. Q.,2019

3. The wisdom of the few: a collaborative filtering approach based on expert opinions from the web;Amatriain,2009

4. Rate it again : increasing recommendation accuracy by user re-rating;Amatriain,2009

5. Location-based and preference-aware recommendation using sparse geo-social networking data;Bao,2012

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prick “filter bubbles” by enhancing consumers' novelty‐seeking: The role of personalized recommendations of unmentionable products;Psychology & Marketing;2024-06-14

2. Relative effects of the different bundles of web-design features on intentions to purchase experience products online;Decision Support Systems;2024-04

3. Design Principles for Data-Driven Decision Evaluation;Procedia Computer Science;2024

4. Learning for success: understanding crowdfunding relaunch performance after initial failures;Internet Research;2023-07-14

5. Evaluating collaborative rationality-based decisions: a literature review;Procedia Computer Science;2023