A REVIEW ON - BFRIEND NETWORK TO SHARE PERSONALIZED GEO-SPECIFIC PHOTO WITH TAG RECOMMENDATION

Authors

  • Raksha P Shinde Computer Science & Engineering, RTMNU University, W.C.E.M, Nagpur, Maharashtra, India
  • Prof. Saiyad Sharik Kaji Computer Science & Engineering, RTMNU University, W.C.E.M, Nagpur, Maharashtra, India

Keywords:

Geo-location preference, personalized tag recommendation, user preference, Befriend Network.

Abstract

Social tagging becomes increasingly important to organize and search large-scale community-contributed photos on social websites. The main aspect of the method that has mainly focused on the personalized tag recommendation task and try to identify user-preferred, geo-location-specific as well as semantically relevant tags for a photo by leveraging rich contexts of the freely available community-contributed photos with the help of web server. Social tagging becomes increasingly important to organize and search large-scale community-contributed photos on social websites. The interest point is the The Bfriends, a location aware ad- hoc social networking platform based on the face book social graph. The Bfriend platform is used by mobile users equipped with Smartphone’s after users install and activate Bfriend client application, they are able to receive push notification with the help of Mobile application. We proposed a mobile application for connecting the social network by tagging photos.

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Published

2016-11-20

Issue

Section

Articles

How to Cite

[1]
“A REVIEW ON - BFRIEND NETWORK TO SHARE PERSONALIZED GEO-SPECIFIC PHOTO WITH TAG RECOMMENDATION”, IEJRD - International Multidisciplinary Journal, vol. 2, no. 6, p. 4, Nov. 2016, Accessed: Sep. 30, 2026. [Online]. Available: https://www.iejrd.com/index.php/iejrd/article/view/547

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