Back to Results
First PageMeta Content
Collective intelligence / Social information processing / Information retrieval / Collaborative filtering / Science / Human behavior / Transparency / Usability / GroupLens Research / Human–computer interaction / Recommender systems / Information science


The Role of Transparency in Recommender Systems Rashmi Sinha & Kirsten Swearingen School of Information Management & Systems, UC Berkeley Berkeley, CAUSA {sinha, kirstens}@sims.berkeley.edu ABSTRACT
Add to Reading List

Document Date: 2002-04-04 13:54:59

Open Document

File Size: 28,89 KB

Share Result on Facebook

Company

H.R. Recommender Systems / Addison Wesley Publishing Company / Barnes & Noble / Johnson & Johnson / E. Rule-Based Expert Systems / 5 Music Recommender Systems / Amazon / Music Recommender Systems / ACM Press / ABSTRACT Recommender Systems / Recommender Systems / /

Country

United States / /

/

IndustryTerm

search performance / movie systems / social filtering algorithms / online commerce sites / expert systems / search engines / music systems / /

Organization

Recommender Systems Rashmi Sinha & Kirsten Swearingen School of Information Management & Systems / UC Berkeley / Stanford / /

Position

e.g. favorite musician / Album Advisor / /

ProvinceOrState

California / /

Technology

social filtering algorithms / CF algorithms / /

SocialTag