Supporting Exploratory Search Tasks with Interactive User Modeling Tuukka Ruotsalo1, Kumaripaba Athukorala2, Dorota Głowacka2, Ksenia Konyushkova2, Antti Oulasvirta3,1, Samuli Kaipiainen2, Samuel Kaski1,2, Giulio Jacucc

Source URL: www.asis.org

• Exploratory search
• Relevance feedback
• Relevance
• Usability
• User interface
• Recommender system
• Search engine indexing
• Image retrieval
• Precision and recall
• Information science
• Information retrieval
• Science

Searcher Actions and Strategies in Asynchronous Collaborative Search Robert Capra, Annie T. Chen, Evonne McArthur, Natalie Davis School of Information and Library Science University of North Carolina at Chapel Hill {rcap

Source URL: www.asis.org

• Science
• Information science
• Human–computer interaction
• Information retrieval
• Collaborative information seeking
• Information seeking behavior
• Recommender system
• Collaborative filtering
• Sensemaking
• Information
• Collaboration
• Groupware

NABA National Scholarship Application (NSA[removed]APPLICATION MATERIALS CHECKLIST To complete the application process, the following information must be submitted. Unless otherwise indicated, all documents mus

Source URL: www.nabainc.org

• Recommender system
• Knowledge
• Academia
• Email
• Transcript

RECOMMENDATION FORM Please submit directly to [removed] no later than Friday, January 9, [removed]The Student Advisory Committee (SAC) is comprised of up to twenty Active Minds chapter leaders from across the US

Source URL: activeminds.org

Letter of Recommendation To the applicant: Please complete the following section: Letter of recommendation in support of Applicant’s Name an applicant to the Ph.D. in the Built Environment program for Autumn, 20 by

Source URL: be.washington.edu

• Recruitment
• Graduate school
• Recommender system
• Employment

Personalized Collaborative Clustering Yisong Yue Chong Wang Disney Research

Source URL: www.yisongyue.com

• Consensus clustering
• Machine learning
• Collaborative filtering
• Recommender system
• Document clustering
• Spectral clustering
• Computer cluster
• Hierarchical clustering
• Statistics
• Cluster analysis
• Computing

Context-aware Collaborative Filtering in Location Based Services

Source URL: www.marshallplan.at

• Information retrieval
• Science
• Collaboration
• Context awareness
• Recommender system
• Context-aware services
• Collaborative filtering
• Location-based service
• Ambient intelligence
• Information science
• Technology
• User interface techniques

Network Imputation in Predicting Researcher Collaboration Yun Huang1, Chuang Zhang2, Maryam FazelZarandi3, Hugh Devlin1, Alina Lungeanu1, Stanley Wasserman 4, Noshir Contractor1 1

Source URL: www.vivoweb.org

• Noshir Contractor
• Recommender system
• Mahanagar Telephone Mauritius Limited
• Network theory
• Networks
• Exponential random graph models

Linear Submodular Bandits and their Application to Diversified Retrieval Carlos Guestrin Machine Learning Department Carnegie Mellon University

Source URL: www.yisongyue.com

• Submodular set function
• Machine learning
• Natural language processing
• Operations research
• Mathematical optimization
• Algorithm
• Linear programming
• Recommender system
• Information retrieval
• Statistics
• Applied mathematics
• Mathematics

Recommending Collaborators using Social Features and MeSH Terms Danielle H. Lee & Peter Brusilovsky School of Information Sciences, University of Pittsburgh 135 N. Bellefield Ave., Pittsburgh, PA[removed]hyl12, peterb]@

Source URL: www.asis.org

• Information retrieval
• Social information processing
• Collaboration
• Recommender system
• Collaborative filtering
• Expertise finding
• Social networking service
• Wireless mesh network
• Science
• Information science
• Knowledge