A Survey of Document Ranking and Similarity Using Combination of Various Matching Function
Keywords:
Combined Matching Function, Similarity Measure, Databases, Classification, cosine-JaccardAbstract
The Volume of information in this world of digitalization is so vast and present in various forms. The major problem we face related to all these information sets is their organization. To use this information effective and efficiently we categorize or classified them according to their specialization. Without categorizing garbing the relevant information is not an easy task. To make it easy different methods are applied and these methods allow the user to take and put the specific information or document quickly into their respective database. The main objective of this paper is to use combination of cosine-Jaccard ,Jaccard-dice and cosine-dice matching function to find the similarity between documents and ranking them according to their similarity into their respective database and store them into the appropriate classification.
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