Alumni Member
Anita Khadka (Alumni) 
PhD Research Student
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
News
Publications
Khadka, A. (2020). Capturing and Exploiting Citation Knowledge for the Recommendation of Scientific Publications. [Thesis] https://oro.open.ac.uk/72585/.
Khadka, A., Cantador, I. and Fernandez, M. (2020). Capturing and Exploiting Citation Knowledge for Recommending Recently Published Papers. In: Semantic technologies for smart information sharing and web collaboration Conference Track at 29th IEEE WETICE Conference, 09-11 Jun 2021, Basque Coast - Bayonne, France. https://oro.open.ac.uk/70284/.
Khadka, A., Cantador, I. and Fernandez, M. (2020). Exploiting Citation Knowledge in Personalised Recommendation of Recent Scientific Publications. In: LREC 2020, Conference on Language Resources and Evaluation, 11-16 May 2020, Marseille. https://oro.open.ac.uk/70088/.
Khadka, A. and Knoth, P. (2018). Using citation-context to reduce topic drifting on pure citation-based recommendation. In: 12th ACM Conference on Recommender Systems, 02-07 Oct 2018, Vancouver, British Columbia, Canada. https://oro.open.ac.uk/56985/.
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. In: 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017), 11 Aug 2017, Tokyo, Japan. https://oro.open.ac.uk/51763/.
