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  56. The British Library Catalogues & Collections
  57. CIA World Factbook
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  59. OpenDOAR
  60. Catalog of U.S. Government Publications
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  64. arXiv e-Print Archive
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  69. The British Library Catalogues & Collections
  70. CIA World Factbook
  71. State Legislative Websites Directory
  72. OpenDOAR
  73. Catalog of U.S. Government Publications
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  78. Catalog of U.S. Government Publications


Public Article
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    Auto Suggestion Based on Lucene

    		 
     
         
    ISSN: 2348 - 2273

    Publisher: author   

Auto Suggestion Based on Lucene
Indexed in Technology and Engineering
ARTICLE-FACTOR
 1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 2
Article Problems
Under Evaluation
article Flaws Reduces Credit

SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Electrical Electronics & Computer..
Authors: Dr. M. Nagaratna, Bhavani Lakkarusu
International Journal Address (IAA):
IAA.ZONE/234857462273
eISSN : 2348 - 2273 VALID ISSN Validator
Abstract This paper introduces us the Auto Suggest search engine based on Lucene. Auto Suggest is searching a dynamic list of related phrases, keywords and items. Now a days, many online websites provide autosuggest feature. Auto suggest predicts the buyers train of thought in suggesting new ideas, and also suggests items in addition to the buyers query .The full text search of Lucene provides faster retrieval speed compared to other technologies.
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