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Patents and Research papers are published in various fields. These are stored in various conferences and journals database. If a user (researcher or any general user) want to search for any patent or research paper in any particular field, then there is lack of search criteria available for this. In this paper, the authors have used nearest neighbor algorithm with cosine similarity to categorize patents and research papers. In this paper, experimental results show that if a user want to search for the patent or research paper in any particular field or category, then user would get better results.
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