To Recommend Documents In Small Business Meetings by Extracting Keywords & Clustering them

Authors

  • Manasa.N PG Scholar, Department of Computer Science & Engineering, UBDT College of Engineering, Davangere, India
  • Bavya S PG Scholar, Department of Computer Science & Engineering, UBDT College of Engineering, Davangere, India
  • SMT. Kavitha G Assistant Professor, Department of Computer Science & Engineering, UBDT College of Engineering, Davangere, India

Keywords:

Documents, Local Database, Extraction, Keyword, Clustering

Abstract

To assist in small business meetings here we propose a method to recommend documents to users. Huge
amount of information is present around us in the form of documents, images etc but accessibility is limited by the ease
of search Engines. Sometimes we have may have a confusion about how to start something, especially searching
relevant data to ease the work and make it more effective. We utilize the perception of just-in-time retrieval, which helps
in instinctively recommending documents that are associated to users’ present activities.

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Published

2016-07-25

How to Cite

Manasa.N, Bavya S, & SMT. Kavitha G. (2016). To Recommend Documents In Small Business Meetings by Extracting Keywords & Clustering them. International Journal of Advance Research in Engineering, Science & Technology, 3(7), 30–34. Retrieved from https://ijarest.org/index.php/ijarest/article/view/895

Issue

Vol. 3 No. 7 (2016): Volume: 03, Issue: 07 - July, 2016.

Section

Articles