A Recommender Systems Based on Similarity Networks: MovieLens Case Study.
Mojtaba SadeghianMohammad KhansariPublished in: IST (2018)
Keyphrases
- recommender systems
- collaborative filtering
- case study
- movie recommendation
- pearson correlation coefficient
- collaborative filtering algorithms
- matrix factorization
- similarity measure
- user preferences
- distance function
- collaborative recommendation
- user similarity
- music recommendation
- structural similarity
- heterogeneous networks
- complex networks
- network structure
- user profiles
- distance measure
- user feedback
- real world
- network analysis
- information overload
- user profiling
- user interests
- network size
- cold start problem
- recommendation quality
- data sparsity
- user ratings
- implicit feedback
- information filtering
- user model
- similarity function
- lessons learned
- mobile devices
- social networks