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This project proposes a personalized search system that enhances media retrieval on social sharing websites like Flickr, YouTube, and Snapfish. By leveraging user-generated content, the system tailors search results based on individual user interests alongside query information. The integration of user-specific preferences aims to improve the efficiency of media management, allowing users to access relevant content more easily. This innovative approach not only augments the media discovery process but also creates a more engaging user experience.
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Personalized Image Search CS 524 Class Project By Bhargavi Putchakayala & Chaitanya Sontineni
Overview • Increasingly developed social sharing websites, like Flickr, Youtube and snapfish, allow users to create, share, annotate and comment medias. • This user created large data can also provide useful information to improve media retrieval and management. • Here comes the personalized search where the information retrieved is depends on the particular user interest. • Our proposed system considers simultaneously user and query information.