Recommender System: Towards Identification of Shilling Attacks in Rating System Using Machine Learning Algorithms.
Manpreet KaurShalli RaniPublished in: Int. J. Perform. Eng. (2023)
Keyphrases
- machine learning algorithms
- recommender systems
- collaborative filtering
- collaborative filtering algorithms
- data sparsity
- product recommendation
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- machine learning methods
- matrix factorization
- predictive accuracy
- user preferences
- learning problems
- random forests
- learning tasks
- machine learning approaches
- transfer learning
- input features
- user ratings
- machine learning systems
- personalized recommendation
- user profiles
- rating prediction
- cold start
- active learning
- recommendation quality
- statistical machine learning
- product reviews
- multiclass classification
- post processing
- cold start problem
- pairwise
- standard machine learning algorithms