Personalized recommendation by matrix co-factorization with multiple implicit feedback on pairwise comparison.
Frans PrathamaWenny Franciska SenjayaBernardo Nugroho YahyaJei-Zheng WuPublished in: Comput. Ind. Eng. (2021)
Keyphrases
- implicit feedback
- personalized recommendation
- pairwise comparison
- matrix factorization
- user feedback
- tensor factorization
- recommender systems
- collaborative filtering
- user interests
- eye tracking
- user behavior
- explicit feedback
- web search
- contextual information
- pairwise
- user interaction
- web users
- information overload
- website
- data envelopment analysis
- relevance feedback
- search result
- group decision making
- web search engines
- recommendation systems
- information extraction
- probabilistic model
- data mining techniques
- user preferences