Relevancy Ranking of User Recommendations of Services Based on Browsing Patterns

@article{Gudla2017RelevancyRO,
  title={Relevancy Ranking of User Recommendations of Services Based on Browsing Patterns},
  author={Suresh Kumar Gudla and Joy Bose and Venugopal Gajam and Srinath Srinivasa},
  journal={2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)},
  year={2017},
  pages={765-768}
}
There are a number of inbound web services, which recommend content to users. However, there is no way for such services to prioritize their recommendations as per the users' interests. Here we are not interested in generating new recommendations, but rather organizing and prioritizing existing recommendations in order to increase the click rate. Since users have different patterns of browsing that also change frequently, it is good to have a system that prioritizes recommendations based on the… CONTINUE READING

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