Bookmark Collection

SI 583 - Recommender Systems

Recommender systems guide people to interesting materials based on information from other people. A large design space of alternative ways to organize such systems exists. The information that other people provide may come from explicit ratings, tags, or reviews, or implicitly from how they spend their time or money. The information can be aggregated and used to select, filter, or sort items. The recommendations may be personalized to the preferences of different users.

Instructor: Rahul Sami

dScribe: Mike Harmala

Course Level: Graduate

Course Structure: Ninety-minute class, twice a week

Date Added to MERLOT:: August 21, 2012
Created by:: Open Michigan
License:

Collection Content

SI 583 Recommender Systems- Reading List (Reference Material)
SI 583 Recommender Systems- Syllabus (Reference Material)
SI 583 Recommender Systems- Week 01: Intro to Recommender Systems (Presentation)
SI 583 Recommender Systems- Week 02: Eliciting Ratings (Presentation)
SI 583 Recommender Systems- Week 05: User-User Recommender (Presentation)
SI 583 Recommender Systems- Week 06: Application & Implementation (Presentation)
SI 583 Recommender Systems- Week 07: Case Study: Item-to-Item (Presentation)
SI 583 Recommender Systems- Week 08: Item-to-Item; Page Rank (Presentation)
SI 583 Recommender Systems- Week 09: Page Rank; SIngular Value Decomposition (Presentation)
SI 583 Recommender Systems- Week 11: Explanations and Interface Variations (Presentation)
SI 583 Recommender Systems- Week 12: Explanations; Scalable Implementation; Manipulation (Presentation)
SI 583 Recommender Systems- Week 13: Manipulation; Privacy (Presentation)