Difference between revisions of "Ne present 01"

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Revision as of 18:06, 30 January 2009

Introduction to Recommender Systems What is an RS? [What are different types of recommender systems]

My Project Part 1: Exploring Recommendation Systems look at different recommender systems

  • by dif companies
  • dif methods

historical vantage-point: start w/ oldest & come to newest what makes a good RS?

other directions:

  • AI/machine learning used in RS
  • security/privacy issues?
  • multi-agent systems, computer models for trust?

Part 2: Designing a Recommendation System? plan is to design new RS -- use novel topic (e.g. Bryn Mawr course recommendations) or technique (hybrid of existing techniques?) may deem infeasible or may prefer to explore RS research further in that case, will present analysis of current state of affairs re: recommendation systems & suggestions for further improvements


What I’ve Done So Far began reading articles re: RS

Next Week

  • continue reading (& adding to wiki page)
  • specifically, look into old/original rec systems
  • want to know more about each of the three types of RS (personalized, social, item-based)
    • more details on how they work
  • look at companies -- how do they explain what they're doing (be wary of "we're so amazing"- type spin)
  • any info on classifying/rating rec systems -- how do you know if one is "better" than another?)