Create an Account
username: password:
 
  MemeStreams Logo

CS 6604: Recommender Systems (Spring 2001)

search

Jeremy
My Blog
My Profile
My Audience
My Sources
Send Me a Message

sponsored links

Jeremy's topics
Arts
  Literature
   Classical
   Fiction
   Horror
   Non-Fiction
   Sci-Fi/Fantasy Literature
  Movies
   Movie Genres
    Action/Adventure
    Cult Films
    Documentary
    Drama
    Horror
    Independent Films
    Film Noir
    Sci-Fi/Fantasy Films
    War
  Music
   Music Styles
    Classical
    Electronic Music
    Rap & Hip Hop
    IDM
    Jazz
    World Music
  TV
   TV Documentary
   TV Drama
   SciFi TV
Business
  Finance & Accounting
  Industries
   Tech Industry
   Telecom Industry
  Management
  Markets & Investing
Games
  Video Games
   PC Video Games
   Console Video Games
Health and Wellness
  Medicine
Home and Garden
  Cooking
  Entertaining
Miscellaneous
  Humor
  MemeStreams
   Using MemeStreams
Current Events
  War on Terrorism
  Elections
  Israeli/Palestinian
Recreation
  Cars and Trucks
  Travel
Local Information
  United States
   California
    SF Bay Area
   Events in Washington D.C.
   News for Washington D.C.
   Georgia
    Atlanta
     Atlanta Events
Science
  Biology
  History
  Math
  Medicine
  Nano Tech
  Physics
Society
  Economics
  Education
  Futurism
  International Relations
  History
  Politics and Law
   Civil Liberties
    Internet Civil Liberties
    Surveillance
   Intellectual Property
  Media
   Blogging
  Military
  Philosophy
Technology
  Biotechnology
  Computers
   Computer Security
    Cryptography
   PC Hardware
   Human Computer Interaction
   Computer Networking
   Macintosh
   Software Development
    Open Source Development
  Military Technology
  High Tech Developments

support us

Get MemeStreams Stuff!


 
CS 6604: Recommender Systems (Spring 2001)
Topic: High Tech Developments 10:09 pm EDT, Jun 27, 2002

In Spring 2001, Virginia Tech professor Naren Ramakrishnan taught an entire course on the topic of recommender systems. Here you can browse the syllabus, review slides from the lectures, and review the reading list.

Course overview: CS 6604 concentrates on algorithms, methodologies, systems, and larger-scope issues (economic, commercial etc.) pertaining to reducing information overload. The unique aspect of this course will be how it integrates ideas from diverse areas: numerical analysis (strange but true), information systems, human-computer interaction, and algorithmics. Over the past three years, a large body of literature on recommender systems, filtering, and personalization technologies has been developed. Even though the field is driven by commercial trends and industrial developments, many of the ideas are nearing a stage of stabilization when their use is becoming common place (textbook material). CS 6604 will help illustrate the interplay between these different areas and demonstrate how ideas from diverse backgrounds can be combined in novel and sophisticated ways.

CS 6604: Recommender Systems (Spring 2001)



 
 
Powered By Industrial Memetics
RSS2.0