Research Article
A Hybrid Approach to Social Network User Feed Generation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 179 - Issue 48 |
| Published: Jun 2018 |
| Authors: Akhil Sudhakaran, Devipriya Sarkar, Praveen Kumar G., Ravikiran R., Sushila Shidnal |
10.5120/ijca2018917224
|
Akhil Sudhakaran, Devipriya Sarkar, Praveen Kumar G., Ravikiran R., Sushila Shidnal . A Hybrid Approach to Social Network User Feed Generation. International Journal of Computer Applications. 179, 48 (Jun 2018), 7-9. DOI=10.5120/ijca2018917224
@article{ 10.5120/ijca2018917224,
author = { Akhil Sudhakaran,Devipriya Sarkar,Praveen Kumar G.,Ravikiran R.,Sushila Shidnal },
title = { A Hybrid Approach to Social Network User Feed Generation },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 179 },
number = { 48 },
pages = { 7-9 },
doi = { 10.5120/ijca2018917224 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Akhil Sudhakaran
%A Devipriya Sarkar
%A Praveen Kumar G.
%A Ravikiran R.
%A Sushila Shidnal
%T A Hybrid Approach to Social Network User Feed Generation%T
%J International Journal of Computer Applications
%V 179
%N 48
%P 7-9
%R 10.5120/ijca2018917224
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Existing social networks handle generation of user activity feeds by utilizing different data distribution models. Different models optimize different aspects of feed generation such as user specificity, processing efficiency, resource utilization and latency. This paper propo*ses a hybrid model to handle this problem elegantly. This model takes into account the frequency of query requests between individual users and classifies them into either a PUSH-Target user or PULL-Target user. The former is provided with prioritized data pushes and the latter with data pulls on user request basis.
References
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