Set-oriented models (boolean models, fuzzy set model, extended boolean model), algebraic models (vector space models, latent semantic indexing model, topic models), probabilistic models (classical and language models).
Web information retrieval and its peculiarities.
Web search engines (crawler, indexer). HITS algorithm (Hyperlink-induced topic search). Google search engine (the PageRank metric). The SALSA algorithm, variants in web searching
Machine Learning Techniques in Information Retrieval (Learning to Rank, Linguistic Models, Vector representation of words (word embeddings such as word2vec, CBOW, skipgram), LSTM, Transformers, BERT, GPT)
Storage Techniques in Distributed Information Retrieval (MapReduce, Apache Spark)
Full indexing structures in main memory (suffix trees, suffix arrays, acyclic directed graphs (DAWG) for strings), and in secondary memory (supra-suffix array, prefix Β-tree, string Β-tree).
Compression algorithms for text and for indexing structures.
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
