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Context and Short Term User Intention Aware Hybrid Session Based Recommendation System
2019
2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)
Information overloading in e-commerce hinders the consumers' ability to make the right decisions. Customers visiting e-commerce websites can have specific goals in an individual session. However, using sessions that are based on the last item viewed or purchased is not enough to exploit the sessions specific intention or predict users' next actions in the sessions. In this paper, we proposed context and short term user intention aware (CSUI) framework which is based on item similarity
doi:10.1109/inista.2019.8778352
dblp:conf/inista/EsmeliBM19
fatcat:r3rc24wspbdcplhu3kiqo4wagi