CS598CXZ Advanced Topics in Information Retrieval (Fall 2014)

Instructor: ChengXiang Zhai

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Schedule (anticipated)


Notes: Lecture videos are available here.
Date Topic Readings Notes
8/26 Tue Course overview(ppt); Overview of IR research (ppt) V. Bush, As we may think, 1945 . ; IR History

Part 1. Background
8/28 Thu Background I: Basic Concepts in IR (ppt) Singhal's review of IR (error)
9/2 Tue Background II: Basic Probability & Statistics (ppt; lecture video) Rosenfeld's note on estimation Assign #1 out
9/4 Thu Background III: Introduction to Machine Learning (guest lecture by Xiaolong Wang) Xiaolong's slides
9/9 Tue Background IV: Basic Concepts of Information Theory (ppt) Rosenfeld's note on information theory
9/11 Thu Background V: Introduction to NLP (ppt)

Part 2. Information Retrieval: Evaluation, Models, and Framework
9/16 Tue IR: Problem Formulation & Evaluation (ppt) IREval (Chapters 2-4) ; SLMIR (Chapter 2)
9/18 Thu IR Evaluation (ppt) IREval (Chapters 2-4)
9/23 Tue Vector Space Models (ppt) [Singhal et al. 96]
9/25 Thu Probabilistic Retrieval Models I (ppt) [Robertson and Zaragoza 2009] (Chapters 1-3) ; SLMIR (Chapters 3-5)
9/30 Tue Probabilistic Retrieval Models II (ppt) [Robertson and Zaragoza 2009] (Chapters 1-3) ; SLMIR (Chapters 3-5)
10/2 Thu Probabilistic Retrieval Models III ( ppt; LMIR Tutorial) SLMIR (Chapters 3-5)
10/7 Tue Probabilistic Retrieval Models IV ( ppt; LMIR Tutorial) SLMIR (Chapters 3-5)
10/9 Thu Probabilistic Retrieval Models IV ( ppt; LMIR Tutorial) SLMIR (Chapters 3-5)
10/14 Tue Probabilistic Retrieval Models V ( ppt; LMIR Tutorial) SLMIR (Chapters 3-5)
10/16 Thu Axiomatic Retrieval Framework (ppt) [Fang 07] (Chapters 3 & 4); Online resources on axiomatic analysis

Part 3. Text Mining: Statistical Topic Models
10/21 Tue Probabilistic Latent Semantic Analysis (ppt) SLMIR(Ch7); PLSA ; EM algorithm
10/23 Thu Probabilistic Latent Semantic Analysis (ppt) SLMIR(Ch7); PLSA ; EM algorithm
10/28 Tue Latent Dirichlet Allocation (ppt) SLMIR(Ch7); PLSA ; EM algorithm
10/30 Thu Review for Midterm topics to be covered in the midterm exam
11/4 Tue Midterm Exam

Part 4. Frontier Topics: Project-based workshop
11/6 Thu Latent Dirichlet Allocation (ppt) SLMIR(Ch7)
11/11 Tue Extension of PLSA and LDA (ppt) SLMIR(Ch7)
11/13 Thu Learning to rank ( ppt) Introduction to Learning to Rank
11/18 Tue Learning to Rank (ppt, Web search))
11/20 Thu Recommender systems (ppt), Sentiment/opinion analysis (ppt)
11/25 Tue Thanksgiving Break
11/27 Thu Thanksgiving Break
12/2 Tue No class meeting (Watch NLP Tutorial video by Mark Sammons)
12/4 Thu Project progress report and feedback
11/9 Tue Course Summary(ppt)
12/10 Wed Last Day of Instruction
12/12 Fri Project presentation at 1:30-4:30pm
Place to be announced later.
12/19 Fri Project report due