I have a dataset which contains various clicks which a user did while going through the website. It also contains uniqueid of each user, date and time of the click and their name. Essentially my main aim is to predict what will be next click of the user. For example, if it starts fromhomethen goes toclothingthen goes toDenimthen fromDenimwhat is the highest probability of its nextclick?There are 50000 unique click patterns in a month which a user has clicked. Will Markov chain be feasible for such data?
Clicks Time Id Home,Clothing,Men,Denim,Home 02/10/2018/3:22pm 1234 Home,Kitchenware,glass,purchase 03/10/2018/4:00pm 4567 Home,Clothing,Men,Denim,Purchase 04/10/2018/3:55pm 7891 Home,Clothing,Men 05/10/2018/2:56pm 6789
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