Abstract
Information retrieval (IR) is the process of searching within a document collection for a particular information need (called a query) [4]. Web IR can be defined as the application of theories and methodologies from IR to the World Wide Web. It is concerned with addressing the technological challenges facing Information. The utility and ubiquity of web search is making Web Information Retrieval (IR) an increasingly popular research topic. The incredible success of Google is a striking example of how important it is for academia and industry to foster innovation in the field of Web IR. The unabated growth of the Web and the increasing expectation placed by the user on the search engine to anticipate and infer his/her information needs and provide relevant results has fostered the development of the field of Web Information Retrieval (Web IR). This paper takes a deeper dive into the Web IR process, a variant of classical Information Retrieval, by clearly explaining its core concepts , the components, model categories, tools, tasks and the performance measures that quantify the quality of retrieval results.
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