Loreen Terveen
Information Systems · 2001–2016
A researcher in the Science corpus: 12 papers; trusts 27 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 58 citations into it; #412 of 8,771 by trust here, #228 by citations
- Communication — 45 citations into it; #3,284 of 3,460 by trust here, #623 by citations
- Sociology and Political Science — 36 citations into it
- Artificial Intelligence — 32 citations into it
- Computer Science Applications — 25 citations into it
- Management Science and Operations Research — 23 citations into it; #777 of 11,946 by trust here, #408 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Recommender Systems — 14 citations into it
Whom Loreen Terveen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Resnick
- J. Konstan
- Badrul Munir Sarwar
- Jonathan L. Herlocker
- Daniel Billsus
- John Riedl
- Marko Balabanovic
- Aniket Kittur
- Ken Lang
- Nicolas Ducheneaut
Who trusts Loreen Terveen overall
- Gediminas Adomavicius
- Paul Resnick
- Jennifer Golbeck
- Òscar Celma
- Behnoush Abdollahi
- Michael D. Ekstrand
- Robin D. Burke
- Jesús Bobadilla
- Charu C. Aggarwal
- Linyuan Lu
Papers from Loreen Terveen's perspective
Ordered by how strongly the researchers Loreen Terveen trusts endorse each paper. Same corpus, a different order for every researcher.
- An open architecture for collaborative filtering of netnews
- Fab: content-based, collaborative recommendation
- Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
- Application of Dimensionality Reduction in Recommender System - A Case Study
- Item-based collaborative filtering recommendation algorithms
- Slash(dot) and burn: distributed moderation in a large online conversation space
- Some methods for classification and analysis of multivariate observations
- Internet encyclopaedias go head to head (Nature)
- Learning Collaborative Information Filters
- Eigentaste: A Constant Time Collaborative Filtering Algorithm
Their papers
- Evaluating collaborative filtering recommender systems (2004) — 6,139 citations
- Wikipedians are born, not made: a study of power editors on Wikipedia (2009) — 305 citations
- Building Member Attachment in Online Communities: Applying Theories of Group Identity and Interpersonal Bonds (2012) — 633 citations
- Exploring the filter bubble: the effect of using recommender systems on content diversity (2014) — 634 citations
- WP:clubhouse?: an exploration of Wikipedia's gender imbalance (2011) — 232 citations
- Social matching: A framework and research agenda (2005) — 361 citations
- "Blissfully Happy" or "Ready toFight": Varying Interpretations of Emoji (2016) — 405 citations
- Crowd-Based Personalized Natural Language Explanations for Recommendations (2016) — 114 citations
- "I LOVE THIS SITE!" vs. "It's a little girly": Perceptions of and Initial User Experience with Pinterest (2015) — 17 citations
- Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki (2010) — 97 citations
- Creating, destroying, and restoring value in wikipedia (2007) — 384 citations
- Beyond Recommender Systems: Helping People Help Each Other (2001) — 344 citations