CS 525/DS 595: Information Retrieval & Social Web :: Spring 2020

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Tentative Schedule (subject to change)

Class #	Date	Topic	Readings	Homework	Project
1	1/22	Course overview, Text retrieval basics, boolean retrieval	IIR 1
2	1/29	boolean retrieval; Improving the index	IIR 2.1-2.4, 3.1-3.2	hw1 out
3	2/5	Improving the index; Vector space retrieval	IIR 6		Notify names of your project team members by February 5
4	2/12	Quiz; Vector space retrieval; BM25; Statistical language models; Web Search Basics	IIR 7, 12, 19.1-19.4, 20, A Standard for Robot Exclusion, ProgrammableWeb API repository	hw2 out
5	2/19	Web Search Basics; Link analysis (PageRank and HITS)	MMD 5.1, Google Bomb, IIR 21.1-21.2, PageRank IIR 21.3, MMD 5.5, HITS (Wikipedia), Kleinberg's original paper
6	2/26	Evaluating the retrieval engine; Review	IIR 8	hw3 out
7	3/4	Midterm
		No class (Spring break)
8	4/1	Classification; Clustering	Mining the Social Web chapters 1 and 9; IIR 13, 14, 16		Project proposal due by April 3
9	4/8	Clustering; Recommenders	IIR 17, MMD 9, Recommender System (Wikipedia)		Proposal Presentation Video by April 7
10	4/15	Recommenders	MMD 9, Recommender System (Wikipedia) Matrix Factorization Techniques for Recommender Systems, Netflix Prize, How the Netflix Prize was won Collaborative filtering with temporal dynamics, 2009.
11	4/22	Quiz; Learning to Rank; Neural Methods for IR; Distributed word representations for IR	IIR 15.4, Wikipedia: Learning to Rank, Learning to Rank for Information Retrieval; An Introduction to Neural Information Retrieval (mainly Ch 2.6 and 3); Distributed Representations of Words and Phrases and their Compositionality, 2013
12	4/29	Advanced Recommender System; Online Threats; Review; Project Workday	Regularizing Matrix Factorization with User and Item Embeddings for Recommendation, 2018; Neural Collaborative Filtering, 2017; The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News. 2018.
13	5/6	Final exam
14	5/13	In-class Workshop