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691RS: Introduction to Recommender Systems (Spring, 2017)

Time: Fri, 10:10 - 12:10

Location: CS 140

Instructor

Yongfeng Zhang (yongfeng@cs.umass.edu)

Office: CS 364

Office hour: Thu, 3pm–5pm

Prerequisites

Textbook

Links

Grading

Papers & Project

Tentative Schedule

Class# Date Topic Reminder Slides
1 1/27, Fri
  • Introduction (Chap 1)
  • Collaborative Filtering (Chap 4)
Lecture 1 slides
2 2/3, Fri
  • Matrix Factorization (Chap 4 & 5)
Lecture 2 slides
- 2/6, Mon Last day to add or drop any class with no record
3 2/10, Fri
  • Invited Talk: Clinical Text Understanding
    and Decision Support (by Carsten Eickhoff)
10:00 a.m. in CS 151
- 2/11-2/16 Build up your teams for paper reading and project
4 2/17, Fri
  • Project Description
  • Content-based Recommendation (Chap 3)
  • Advanced Topics - Explainable Recommendation
Lecture 4 slides
- 2/18-2/23 Period for paper bidding
5 2/24, Fri
  • Hybrid recommendation approaches (Chap 22)
  • Evaluating Recommender Systems (Chap 8)
  • Advanced Topics - Dynamic Recommendation
Lecture 5 slides
6 3/3, Fri
  • Explanations in Recommender Systems (Chap 15)
  • Case Study
  • Advanced Topics - Economic Recommendation
Lecture 6 slides
- 3/6, Mon Last day to Drop with "DR" – Graduate
- 3/8, Wed Mid-Semester Date (Last day to Drop with "W" and select 'P/F'- Undergraduate, Stockbridge, Continuing Education)
7 3/10, Fri
  • Project Proposal
  • Paper reading report: Group 1-2
8 3/24, Fri
  • Paper reading report: Group 3-6
9 3/31, Fri
  • Paper reading report: Group 7-10
10 4/7, Fri
  • Paper reading report: Group 11-14
11 4/14, Fri
  • Project report: Group 1-5
12 4/21, Fri
  • Project report: Group 6-10
13 4/28, Fri
  • Project report: Group 11-14
  • Course Summary

Last update: 2017/02/26