For companies that work with online advertising, more precisely DSPs and their Real-time Bidding platforms is very important to consider collecting information about the behavior and interests of users while they surfing on the internet. Therefore, in this graph gist, I describe a basic approach that can be used to analyze such data, considering a certain period of time and the products visualized by each user. Let’s consider some characters from Breaking Bad surfed on the internet a few days ago and found some products interesting, chemical elements, and they are thinking about buying them. Such information is extremely important when making a bid at auction advertising, knowing the profile and interests of a given user. Then we store these users, products and dates of views so we can extract this information in the future.
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{:user {:dependencies [[org.clojure/tools.namespace "0.2.3"] | |
[spyscope "0.1.3"] | |
[criterium "0.4.1"]] | |
:injections [(require '(clojure.tools.namespace repl find)) | |
; try/catch to workaround an issue where `lein repl` outside a project dir | |
; will not load reader literal definitions correctly: | |
(try (require 'spyscope.core) | |
(catch RuntimeException e))] | |
:plugins [[lein-pprint "1.1.1"] | |
[lein-beanstalk "0.2.6"] |
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