CS 4422/7263 - Information Retrieval (2021 Fall semester)

Schedule

Week of	Topics	Lecture / Reading	Assingment
Aug. 16th	IR introduction Search engines Document retrieval pipeline Challenges in IR Crawling basics HTTP Request Web exploration strategies Politeness policy Duplicates	[slidess:IR-intro] [slides:crawler] [SE] chapter 1 [IIR] chapter 20
Aug. 23rd	Text processing Zipf's law Heap's Law Regular expression Parsing structured documents Tokenization / Lemmatization / Stemming Indexing Basics Inverted index Dicionary Index construction Index compression Sort-based, Merge sort Parallelism and distribution	[slides:text-processing] Porter's Algorithm [IIR] ch. 2	PA1
Aug. 30th	Search with inverted-index Set-based retrieval models Boolean retrieval Scoring docuemnts Algebraic retrieval models Document-Term matrix Term weighting using TF.IDF Vector space models (VSM) Cosine similarity Latent semantic Analysis (LSA)	[slides:indexing] [slides:retrieval-model-I] [IIR] ch. 4, 5	PS1
Sep. 6th No class on 6th	Elasticsearch	[slides:elasticsearch]	PA2
Sep. 13th	Probabilistic retrieval models Bayes' rule Binary independence model (BIM) Okapi BM25 Language models Query-likelihood model Smoothing techniques	[slides:retrieval-model-II] [IIR] ch. 6
Sep. 20th	Evaluation metrics for IR confusion matrix precision, recall, F-score precision@K, AP, R-prec ROC, Precision-recall curves nDCG Test collections Cranfield paradigm TREC	[slides:evaluation] TREC evaluation measures [IIR] ch. 8	PS2
Sep. 27th	Link graph Webgraph Markov Chains PageRank Information extraction and knowledge graph	[slides:link-analysis] [slides:IE-KG] [slides:KDD20' DM-KG] [IIR] ch. 21
Oct. 4th	Relevance feedback and query transformation spell checking and suggestions query expansion relevance feedback relevance feedback controlled vocabulary	[slides:query-manipulation], Survey of Automatic Spelling Correction [IIR] ch. 9	PS3
Oct. 11th	Text classification ML approaches for text Naive Bayes classifier kNN, Rocchio Decision tree	[slides:text-classification] [slides:Support Vector Machines] [YT: Information theory A B C] [IIR] ch. 14, 15	PA3
Oct. 18th	Document clustering clustering topic modeling LDA, PCA	[slides:clustering] [IIR] ch. 16, 17	PS4
Oct. 25th	Recommender Systems collaborative filtering content-based filtering	[slides:Recommenders]
Nov. 1st	Conversational Recommender Systems (CRS)	[slides:CRS]
Nov. 8th	Introduction to Neural Networks Word vectors Backpropagation Neuron implementation NN architectures CNN, RNN, attention mechanism, transformer General neural language models	[slides:WordVectors] [slides:NN-intro] [slides:NN-models-PyTorch]	PS5
Nov. 15th	Traditional Learning to rank (L2R) methods NN for IR Semantic matching Query transformation Quesion-answering Document summarization Named entity recognition Conversational Information Retrieval (CIR)	[slides:NN4IR] [slides:CIR]
Nov. 22th	No classes
Nov. 29th	Information Retrieval Summary	Final exam question pool (Below is for CS7263 only) IR/NLP literature review Presentation slides
Dec. 6th Final Exam Week	We follow the University Final Exam Schedule: CS4422: December 13, 2021 (1:00 PM - 3:00 PM) CS7263: December 8, 2021 (8:30 PM - 10:30 PM)

CS 4422/7263 - Information Retrieval (2021 Fall)

Schedule