Design and Implementation of User-Centered Adaptive Search Engine

摘要

With the ever-growing variety of information, the retrieval demands of different users are somultifarious that the traditional search engine cannot afford such heterogeneous retrievalresults of huge magnitudes. Harnessing the advancements in a user-centered adaptive searchengine will aid in groundbreaking retrieval results achieved efficiently for high-quality content.Previous work in this field have made using the excessive server load to achieve good retrievalresults but with the limited extended ability and ignoring on demand generated content. Toaddress this gap, we propose a novel model of adaptive search engine and describe how thismodel is realized in a distributed cluster environment. Using an improved current algorithm oftopic-oriented web crawler with User Interface based Information Extraction Technique wasable to produce a renewed set of user-centered retrieval results with higher efficiency than allexisting methods. The proposed method was found to exceed by 1.5 times and two times forcrawler and indexer, respectively than all prevailing methods with improved and highly preciseresults in extracting semantic information from Deep web.