Semantic and Fuzzy based Query Reformulation for improving IR - Brossura

Gupta, Yogesh; Raghuwanshi, Ghanshyam

Brossura

ISBN 10: 6204212656 ISBN 13: 9786204212654

Casa editrice: LAP LAMBERT Academic Publishing, 2021

Riassunto

Huge volumes of Web-based or other outlets provide users with a wealth of information. Nevertheless, The archives are becoming increasingly diverse, and the language used in the text is increasingly diverse; Particularly true for web. Two writers writing about the same subject may use a different vocabulary showing yourself. Users looking for information on this subject should communicate their knowledge in an ideal manner, which would have been used by both authors. We may have different types of documents such as structured documents, unstructured documents and semi-structured documents. Information Retrieval is finding material (usually documents) of an unstructured nature (usually text) that satisfies an information need from within large collections. The required data is forwarded to the client as a request. Documentation that fulfills the inquiry given should be relevant in the judgment of the client. No importance should be given to reports which are not of the stated theme. The process of data recovery starts when a person comes into the context of an investigation. Here, query formulation plays an important role in finding the most relevant information.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 6204212656
• ISBN 13: 9786204212654
• Rilegatura: Copertina flessibile
• Numero di pagine: 52
• Contatto del produttore: non disponibile
• Persona responsabile: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania