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  2. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Search algorithm. In computer science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within particular data structure, or calculated in the search space of a problem domain, with either discrete or continuous values. Although search engines use search algorithms ...

  3. LangChain - Wikipedia

    en.wikipedia.org/wiki/LangChain

    LangChain.com. LangChain is a framework designed to simplify the creation of applications that utilize large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.

  4. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    The percentage shows the perceived importance, and the arrows represent hyperlinks. PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages.

  5. Search engine optimization - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization

    v. t. e. 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 traffic (known as "natural" or "organic" results) rather than direct traffic or paid traffic. Unpaid traffic may originate from different kinds of searches ...

  6. TrustRank - Wikipedia

    en.wikipedia.org/wiki/TrustRank

    TrustRank is an algorithm that conducts link analysis to separate useful webpages from spam and helps search engine rank pages in SERPs (Search Engine Results Pages). It is semi-automated process which means that it needs some human assistance in order to function properly. Search engines have many different algorithms and ranking factors that ...

  7. Keyword research - Wikipedia

    en.wikipedia.org/wiki/Keyword_research

    Keyword research. The objective of keyword research is to generate, with good precision and recall, a large number of terms that are highly relevant yet non-obvious to the given input keyword. [1] The process of keyword research involves brainstorming and the use of keyword research tools, with popular ones including Semrush and Google Trends.

  8. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Website. pandas.pydata.org. Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]

  9. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    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.