Personalized Image Search
Nihar Ranjan1, Neha Thombare2, Pallavi Deshmukh3, Simantini Patil4, Shailesh Jain5
1Nihar Ranjan, Computer Department, University of Pune , India.
2Neha Thombare, Computer Engineering, University of Pune, India.
3Pallavi Deshmukh , Computer Engineering, University of Pune, India.
4Simantini Patil, Computer Engineering, University of Pune, India.
5Shailesh Jain , Computer Engineering, University of Pune, India.
Manuscript received on April 26, 2014. | Revised Manuscript received on May 03, 2014. | Manuscript published on May 05, 2014. | PP: 1-3 | Volume-4 Issue-2, May 2014. | Retrieval Number: B2167054214/2014©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: Personalized Search is a feature in which when a user is logged into a account, all of his or her searches on Personal Search are recorded into Web History. Then, when a user performs a search, the search results are not only based on the relevancy of each web page to the search term, but the service also takes into account what websites the user previously visited through search results to determine which search results to determine for future searches, to provide a more personalized experience. The feature only takes effect after the user has performed several searches, so that it can be calibrated to the user’s tastes. Social sharing websites like facebook, twitter, YouTube they are allowing user to comment, tag, like and unlike the shared documents or images. Rapid Increase in the search services for social websites has been developed.
Keywords: Personalized Search, Tagging, Topic Model.