We design a recommender system for research papers based on topic-modeling. The users feedback to the results is used to make the results more relevant the next time they fire a query. The user's needs are understood by observing the change in the themes that the user shows a preference for over time.
@article{arxiv.1704.07757,
title = {User Profile Based Research Paper Recommendation},
author = {Harshita Sahijwani and Sourish Dasgupta},
journal= {arXiv preprint arXiv:1704.07757},
year = {2017}
}
Comments
Work in progress. arXiv admin note: text overlap with arXiv:1611.04822