Lectures related to Search engine indexing

Indexing and Distributed Retrieval

Explores indexing techniques, inverted files, map-reduce algorithms, and top-k document retrieval methods in text retrieval systems.

Information Retrieval: Indexing and Retrieval

Covers indexing techniques, distributed retrieval algorithms, and challenges in large-scale web indexing.

Quantum and Nanocomputing

Covers quantum wire analysis, transmission function, and tunneling in dots.

Indexing: File Organization & Techniques

Explores file organization, indexing techniques, and metadata in databases, emphasizing the importance of choosing the right search key.

Stochastic Modeling of Sensors

Explores stochastic modeling of sensors and search architectures for optimal fusion.

Information Retrieval Indexing: Part 2

Explores constructing an inverted file for information retrieval indexing and the map-reduce programming model.

Latent semantic indexing: inverted files

Explores term-offset indices in inverted files and relevance feedback solutions.

Indexing for Information Retrieval

Explores indexing techniques, inverted files, map-reduce models, and trie usage for efficient information retrieval.

Probabilistic Retrieval

Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.

Text-Based Information Retrieval

Covers the basic concepts of text-based information retrieval and how documents are indexed and retrieved based on user queries.

Information Retrieval: Basics and Techniques

Introduces the basics of Information Retrieval, covering indexing, weighting schemes, cosine similarity, and query evaluation.

Word Embeddings: Modeling Word Context and Similarity

Covers word embeddings, modeling word context and similarity in a low-dimensional space.

Information Retrieval Indexing: Part 1

Explores text retrieval systems, inverted files, addressing granularity, and access structures in information retrieval.

Applications of Propositional Logic

Explores translating natural language to propositional logic, Boolean search, logic puzzles, circuits, and Sudoku.

Propositional Logic: Applications and Translations

Explores applications of propositional logic, including translations and Boolean search for document queries.

Macroscopic Kinetics: Reaction Dynamics & Integrated Rate Laws

Covers macroscopic kinetics, reaction dynamics, rate equations, stochiometric coefficients, and integrated rate laws.

Theory of Open Quantum Systems

Covers the theory of open quantum systems and the dynamics of isolated systems.

Word Embeddings: Models and Applications

Explores word embeddings, models like CBOW and Skipgram, Fasttext, Glove, subword embeddings, and their applications in document search and classification.

Information Retrieval Basics

Introduces the basics of information retrieval, covering document representation, query expansion, and TF-IDF for document ranking.

Text Processing: Large Digital Text Collections Analysis

Delves into the processing of large digital text collections, exploring hidden regularities, text reuse, and TF-IDF analysis.