A SURVEY ON EFFICIENT DECENTRALIZED CREWING ALGORITHM IN SEO

  Janani P,  Banuchandhar J

Crewing of search engine queries has involved important concern in recent years. Many search engine appliances such as query recommendation require query crewing as a pre-requisite to job properly. Certainly, crewing is needed to unlock the true value of query logs. However, crewing search queries effectively is reasonably challenging, due to the elevated diversity and arbitrary input, processing, storage, transmission cost by users. In this crewing method, which is capable of crewing dynamic and distributed data sets. Crewing nodes continuously assist through decentralized rumor-based communication to maintain summarized views of the data set. We modify crew for execution of the partition-based and density-based crewing methods on the summarized views, and also offer enhancements to the basic algorithm. Search queries are typically tiny and confusing in terms of user requirements. Many diverse queries may refer to a single concept, while a single query may cover many concepts. Crewing gives good quality results but is computationally reasonably exclusive. We Proposed a Decentralized Crewing Frame Work for Search Engines. Coping with dynamic data is made possible by gradually adapting the crewing model. This paper presents a decentralized crewing approach using search engine results might themselves be used to discover query similarity. We propose a decentralized crew similarity metric for diverse queries based on the ranked URL results returned by a search engine for queries. This is used to develop a very efficient and accurate algorithm for crewing queries. Our experimental results demonstrate more accurate crewing performance is efficiently, better scalability and robustness, scalable transmission cost of our approach against known baselines.

Keywords- seo,storage,search engine

Unique Identification Number - IJEDR1702074
Page Number(s) - 430-433
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Janani P,  Banuchandhar J,   "A SURVEY ON EFFICIENT DECENTRALIZED CREWING ALGORITHM IN SEO", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.430-433, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702074.pdf