Web Search Result Optimization using Association Rule Mining Algorithm

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Provided by: International Journal of Innovative Science Engineering and Technology (IJISET)
Topic: Developer
Format: PDF
The web is a hub with enormous information where large number of data resources such as documents, images, videos or other multimedia can be retrieved. In this area of context, several information retrieval technologies have been developed to assist users to fulfill their searching needs on web. The most commonly used search engines by users are Google, Yahoo, Amazon, Bing, Ask, Search and so on. The search engines allow users to find relevant resources needed by setting up their query patterns and reviewing a list of URLs. In this paper, a Search Result Optimization Method (SROM) for Search Engine Optimization (SEO) by updating page rank, query recommendation and query reformulation are studied and implemented.
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