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 from home then goes to clothing then goes to Denim then from Denim what is the highest probability of its next click?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
It is more like Market Basket Analysis.Change your data like:
Home,Clothing,Men,Denim,Home 1234
-->
Home,Clothing, 1234
Clothing ,Men, 1234
Men,Denim, 1234
Denim,Home 1234
After that count the frequency.
If MC could apply to it , calling @Rick_SAS
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