enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Azure Cognitive Search - Wikipedia

    en.wikipedia.org/wiki/Azure_Cognitive_Search

    The Search as a service framework is intended to provide developers with complex search capabilities for mobile and web development while hiding infrastructure requirements and search algorithm complexities. Azure Search is a recent addition to Microsoft's Infrastructure as a Service (IaaS) approach.

  3. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.

  4. Ranking (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(information...

    Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.

  5. Microsoft rolls out DeepSeek's AI model on Azure

    www.aol.com/news/microsoft-rolls-deepseeks-ai...

    (Reuters) - Microsoft has made Chinese startup DeepSeek's R1 artificial intelligence model available on its Azure cloud computing platform and GitHub tool for developers, the U.S. company said on ...

  6. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  7. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Paraphrase and Semantic Similarity in Twitter (PIT) This dataset focuses on whether tweets have (almost) same meaning/information or not. Manually labeled. tokenization, part-of-speech and named entity tagging 18,762 Text Regression, Classification 2015 [57] [58] Xu et al. Geoparse Twitter benchmark dataset

  8. Search engine optimization - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization

    Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. [1] [2] SEO targets unpaid search traffic (usually referred to as "organic" results) rather than direct traffic, referral traffic, social media traffic, or paid traffic.

  9. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    There is no single commonly accepted definition of a knowledge graph. Most definitions view the topic through a Semantic Web lens and include these features: [14] Flexible relations among knowledge in topical domains: A knowledge graph (i) defines abstract classes and relations of entities in a schema, (ii) mainly describes real world entities and their interrelations, organized in a graph ...