Shilling recommender systems for fun and profit

Shyong K. Lam, John Riedl

EngineeringInformation SecurityBusiness AnalyticsCustomer ReviewInformation Retrieval +15

Getting to know you

Al Mamunur Rashid, István Albert, Dan Cosley, +4

EngineeringMachine LearningCollaborative Filtering SystemCommunicationText Mining +21

MovieLens unplugged

Brad Miller, István Albert, Shyong K. Lam, +2

Way PeopleEngineeringInformation RetrievalData ScienceRecommender Systems +5

Is seeing believing?

Dan Cosley, Shyong K. Lam, István Albert, +2

EngineeringRating ScalePerceptionCommunicationSocial Sciences +23

On the recommending of citations for research papers

Sean M. McNee, István Albert, Dan Cosley, +5

Computational Social ScienceGroup RecommendersRatings MatrixInformation RetrievalData Science +13

tagging, communities, vocabulary, evolution

Shilad Sen, Shyong K. Lam, Al Mamunur Rashid, +5

EngineeringSemantic WebSemanticsVocabulary EvolutionCorpus Linguistics +22

Creating, destroying, and restoring value in wikipedia

Reid Priedhorsky, Jilin Chen, Shyong K. Lam, +3

CulturomicsEngineeringSemantic WebData PreservationCorpus Linguistics +18

WP:clubhouse?

Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, +4

Gender DisparityGendered PerceptionCulturomicsSocial MediaGender Identity +11

ClustKNN: A Highly Scalable Hybrid Model- & Memory-Based CF Algorithm

Al Mamunur Rashid, Shyong K. Lam, George Karypis, +1

Large-scale Global OptimizationEngineeringMachine LearningAdvanced ComputingText Mining +24

Getting to know you

Al Mamunur Rashid, István Albert, Dan Cosley, +4

EngineeringMachine LearningCollaborative Filtering SystemCommunicationText Mining +21