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  2. Document retrieval - Wikipedia

    en.wikipedia.org/wiki/Document_retrieval

    Most content based document retrieval systems use an inverted index algorithm. A signature file is a technique that creates a quick and dirty filter, for example a Bloom filter , that will keep all the documents that match to the query and hopefully a few ones that do not.

  3. Document-term matrix - Wikipedia

    en.wikipedia.org/wiki/Document-term_matrix

    which shows which documents contain which terms and how many times they appear. Note that, unlike representing a document as just a token-count list, the document-term matrix includes all terms in the corpus (i.e. the corpus vocabulary), which is why there are zero-counts for terms in the corpus which do not also occur in a specific document.

  4. Latent semantic analysis - Wikipedia

    en.wikipedia.org/wiki/Latent_semantic_analysis

    The original term-document matrix is presumed noisy: for example, anecdotal instances of terms are to be eliminated. From this point of view, the approximated matrix is interpreted as a de-noisified matrix (a better matrix than the original). The original term-document matrix is presumed overly sparse relative to the "true" term-document matrix.

  5. Vector space model - Wikipedia

    en.wikipedia.org/wiki/Vector_space_model

    Candidate documents from the corpus can be retrieved and ranked using a variety of methods. Relevance rankings of documents in a keyword search can be calculated, using the assumptions of document similarities theory, by comparing the deviation of angles between each document vector and the original query vector where the query is represented as a vector with same dimension as the vectors that ...

  6. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    1983: Salton (and Michael J. McGill) published Introduction to Modern Information Retrieval (McGraw-Hill), with heavy emphasis on vector models. 1985: David Blair and Bill Maron publish: An Evaluation of Retrieval Effectiveness for a Full-Text Document-Retrieval System mid-1980s: Efforts to develop end-user versions of commercial IR systems.

  7. Big Lots is planning "going out of business" sales at all of ...

    www.aol.com/big-lots-planning-going-business...

    Update: Big Lots says it reached a deal in late December to keep hundreds of U.S. stores open. Big Lots is preparing to close all of its stores, the bankrupt discount retailer said Thursday. The ...

  8. "Hazardous drone operation" leads to two arrests in Boston - AOL

    www.aol.com/hazardous-drone-operation-leads-two...

    BOSTON – Two people were arrested Saturday night in Boston for what police describe as a "hazardous drone operation.". Robert Duffy, 42, of Charlestown, and 32-year-old Jeremy Folcik of ...

  9. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a ...