Detecting sparse rating spammer for accurate ranking of online recommendation.
Hong WangXiaomei YuJun ZhaoYuanjie ZhengPublished in: Int. J. Comput. Sci. Eng. (2019)
Keyphrases
- collaborative filtering
- recommender systems
- rating prediction
- real time
- online learning
- ranking algorithm
- accurate classification
- personalized recommendation
- high accuracy
- computationally efficient
- user preferences
- learning to rank
- sparse data
- user feedback
- implicit feedback
- web search
- high dimensional
- user ratings
- tag recommendation
- ranked list
- recommendation systems
- recommendation quality
- item based collaborative filtering
- collaborative filtering recommender systems
- user similarity
- cold start
- product reviews
- compressive sensing
- information overload
- matrix factorization