Anita Khadka is a PhD candidate in the Knowledge Media Institute in the Open University. Her research interest is focused on finding semantic relationships between research publications from a large corpus of digital libraries. Currently, she is working on recommender system domain specific to academic recommender systems.

Before starting her PhD, she worked as a software engineer for number of years in the financial institution. And she has a Master degree in Intelligent systems and Robotics from the University of Essex.

Keys: Doctoral Research, Recommender Systems, Text Mining, Machine Learning, Digital Libraries

Khadka, A., Cantador, I. and Fernandez, M. (2020) Exploiting Citation Knowledge in Personalised Recommendation of Recent Scientific Publications, LREC 2020, 12th International Conference on Language Resources and Evaluation, Marseille

Khadka, A., Cantador, I. and Fernandez, M. (2020) Capturing and Exploiting Citation Knowledge for Recommending Recently Published Papers, Semantic technologies for smart information sharing and web collaboration Conference Track at 29th IEEE WETICE Conference, Basque Coast - Bayonne, France

Khadka, A. and Knoth, P. (2018) Using citation-context to reduce topic drifting on pure citation-based recommendation, The 12th ACM Conference on Recommender Systems, Vancouver, British Columbia, Canada

Knoth, P. and Khadka, A. (2017) Can we do better than co-citations? Bringing Citation Proximity Analysis from idea to practice in research articles recommendation, Workshop: 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) at The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)