International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 119

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 2, February 2013


Efficient Data Retrieval System for Text Search Queries

UmaMaheswari.C | M.N.Sushmitha


Abstract: The text filtering server monitors a stream of incoming documents for a set of users, who register their interests in the form of continuous text search queries. The objective of the server is to constantly maintain for each query a ranked result list providing the recent documents with the highest similarity to the query. I propose the solution for processing continuous text queries efficiently. The solution indexes the streamed documents in main memory with a structure based on the principles of the inverted file, and processes document arrival and expiration events with an incremental threshold-based method. Based on incremental threshold algorithm, the order of the links will be displayed.


Keywords: Continuous queries, Document streams, Text filtering


Edition: Volume 2 Issue 2, February 2013,


Pages: 331 - 333


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

UmaMaheswari.C, M.N.Sushmitha, "Efficient Data Retrieval System for Text Search Queries ", International Journal of Science and Research (IJSR), Volume 2 Issue 2, February 2013, pp. 331-333, https://www.ijsr.net/get_abstract.php?paper_id=IJSROFF2013042

Similar Articles with Keyword 'Continuous'

Downloads: 0

Research Paper, Computer Science & Engineering, India, Volume 12 Issue 2, February 2023

Pages: 916 - 919

Sentiment Analysis: A Case Study for Apparel Brands - FABINDIA v/s BIBA

Syed Aqsa Ahmed

Share this Article

Downloads: 1

Student Project, Computer Science & Engineering, India, Volume 10 Issue 12, December 2021

Pages: 1357 - 1360

An Opinion Mining for Indian Premier League Using Machine Learning Techniques

Rakshith N | Suraj B S | Chethana C

Share this Article
Top