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Information Retrieval

15 lectures

Indexing architectures, scoring models, vector retrieval, and evaluation techniques for large-scale search systems.

01Lecture 01 · Introduction to Information Retrieval
02Lecture 02 · IR Models: Boolean, Vector, and Probabilistic Retrieval
03Lecture 03 · Search Engine Indexing From Raw Text to Normalized Terms
04Lecture 04 · Stemming, Skip Pointers, Phrase Search and Tolerant Retrieval
05Lecture 05 · Tolerant Retrieval: Wildcard Queries and Spelling Correction
06Lecture 06 · Scalable Index Construction and Compression Foundations
07Lecture 07 · Index Compression and Ranked Retrieval
08Lecture 08 · Vector Space Model and TF-IDF Ranking
09Lecture 09 · Evaluation in Information Retrieval
10Lecture 10 · Text Classification with Naive Bayes and Vector Space Models
11Lecture 11 · Text Classification, Clustering, and Web Search
12Lecture 12 · Web Search Challenges, Size Estimation, Near Duplicates and Crawling
13Lecture 13 · Web Crawling in Detail and Recommender Systems
14Lecture 14 · Link Analysis: PageRank and HITS
15Lecture 15 · Cross-Lingual and Multimedia Information Retrieval
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