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User Intent Estimation from Access logs with Topic Model
2015
Procedia Computer Science
As the Internet is widespread and there are many online shops in the Internet, many persons buy products in the online shops. Customer's behavior in the online shops is a sequence of customer driven activities intrinsically because his/her movement in an online shop occurs according to only his/her decision. Hence, to achieve satisfactory purchase experiments it is important how the shop supports them. Online shops have to predict visitors' intents correctly to support them effectively. One of
doi:10.1016/j.procs.2015.08.113
fatcat:pnhgy6i2yrebrmps2zaunmimc4