IRApr 25, 2017
User Profile Based Research Paper Recommendation
arXiv:1704.07757v12 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for researchers seeking more tailored paper suggestions.
The authors tackled the problem of personalized research paper recommendation by developing a system that uses topic modeling and user feedback to adapt to evolving user preferences over time, resulting in improved relevance of recommendations.
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.