Behnam Rahdari
3 SlideShares 6 Followers 2 Followings
Personal Information
Organization / Workplace
pittsburgh, PA United States
Occupation
PhD Student
Industry
Technology / Software / Internet
Website
pitt.edu/~ber58/
About
I am a P.h.D student in the School of Computing and Information, University of Pittsburgh. I am currently working with Dr. Peter Brusilovsky, head of PAWS Lab. My research focuses on User-Controlled and Explainable recommender systems. my research Interests include Recommender Systems, Human-Computer Interaction, Personalization, Data Mining, and Machine Learning.
Contact Details
Tags
recommender system optimal list submodularity greedy algorithms algorithm coverage diversity intelligent user interface open user model exploratory search concept extraction electronic textbooks student model knowledge graph personalization recommender systems
See more

Presentations

(3)

Using Knowledge Graph for ExplainableRecommendation of External Content inElectronic Textbooks

3 years ago • 108 Views

Personalizing Information Exploration with an Open User Model

3 years ago • 104 Views

Towards Increasing the Coverage of Interactive Recommendations.pptx

1 year ago • 118 Views

Likes

(1)

WebML and WebRatio

Marco Brambilla • 13 years ago
Personal Information
Organization / Workplace
pittsburgh, PA United States
Occupation
PhD Student
Industry
Technology / Software / Internet
Website
pitt.edu/~ber58/
About
I am a P.h.D student in the School of Computing and Information, University of Pittsburgh. I am currently working with Dr. Peter Brusilovsky, head of PAWS Lab. My research focuses on User-Controlled and Explainable recommender systems. my research Interests include Recommender Systems, Human-Computer Interaction, Personalization, Data Mining, and Machine Learning.
Tags
recommender system optimal list submodularity greedy algorithms algorithm coverage diversity intelligent user interface open user model exploratory search concept extraction electronic textbooks student model knowledge graph personalization recommender systems
See more