Search results
Results from the WOW.Com Content Network
Any search will feature one of these approaches Rely on page ranking; ignore most results; run once. Search for an exact string using a simple regexp; pretest a small search domain. Hack out a highly refined set of page characteristics with concern only for an exact count of pages; refine in a sandbox and on the search results page.
A Home Economics instructor giving a demonstration, Seattle, 1953 A training class 1985 at Wittgenstein Reifenstein schools. Home economics, also called domestic science or family and consumer sciences (often shortened to FCS or FACS), [1] is a subject concerning human development, personal and family finances, consumer issues, housing and interior design, nutrition and food preparation, as ...
In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
Text retrieval is a branch of information retrieval where the information is stored primarily in the form of text. Text databases became decentralized thanks to the personal computer . Text retrieval is a critical area of study today, since it is the fundamental basis of all internet search engines .
In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science [ 1 ] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.
Generating or maintaining a large-scale search engine index represents a significant storage and processing challenge. Many search engines utilize a form of compression to reduce the size of the indices on disk. [19] Consider the following scenario for a full text, Internet search engine. It takes 8 bits (or 1 byte) to store a single character.
Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. [3] Solr is widely used for ...