Personalized Image Search
Neha Thombare1, Pallavi Deshmukh2, Simantini Patil3, Shailesh Jain4
1Neha Thombare, Computer Engineering, University of Pune, Pune, India.
2Pallavi Deshmukh , Computer Engineering, University of Pune, Pune.
3Simantini Patil, Computer Engineering, University of Pune, Pune, India.
4Shailesh Jain , Computer Engineering, University of Pune, Pune, India.
Manuscript received on November 11, 2013. | Revised Manuscript Received on November 21, 2013. | Manuscript published on November 20, 2013. | PP: 1-3 | Volume-1, Issue-12, November 2013. | Retrieval Number: L03491111213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering & 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.