TrustTF: A tensor factorization model using user trust and implicit feedback for context-aware recommender systems.
Jianli ZhaoWei WangZipei ZhangQiuxia SunHuan HuoLijun QuShidong ZhengPublished in: Knowl. Based Syst. (2020)
Keyphrases
- search engine
- implicit feedback
- web search
- context aware
- recommender systems
- tensor factorization
- matrix factorization
- collaborative filtering
- contextual information
- probabilistic model
- eye tracking
- user model
- item recommendation
- user feedback
- user experience
- relevance feedback
- end users
- user interface
- mobile devices
- high level