Cold Start Problem Alleviation in a Research Paper Recommendation System Using the Random Walk Approach on a Heterogeneous User-Paper Graph.
Manju G.Abhinaya P.Hemalatha M. R.Manju Ganesh G.Manju G. G.Published in: Int. J. Intell. Inf. Technol. (2020)
Keyphrases
- random walk
- cold start problem
- recommender systems
- collaborative filtering
- cold start
- directed graph
- markov chain
- data sparsity
- personalized recommendation
- user preferences
- matrix factorization
- recommendation systems
- nodes of a graph
- graph laplacian
- transition probability matrix
- user model
- user ratings
- user profiles
- user feedback
- information overload
- user interaction
- markov random walk
- user interface
- user interests
- web graph
- prediction accuracy
- flow graph