In one of my articles, I had discussed the text data based retrieval systems and database retrieval systems (link). Now its time to discuss what are various modes to access text information. We all have come across certain software applications or used certain software applications in which we either input certain text to get something or the system prompts (recommends) you certain information about something (like some products). Let us take one simple example of the Amazon website. When we want to buy certain items or items from amazon we simply input the query and we get some items related to our query. Have you ever noticed that after you buy something amazon often recommends you buy other kinds of stuff related to your bought item? Take another example of Netflix, this website also often recommends you movies or series depending on your taste of watch.

Now let us come to catch from the above examples, some systems pull information from us some push information to us.

So there are two modes to access information one is _Pull _and other one is** Push**

Now let me talk more about Push vs Pull

Push and Pull of information is w.r.t a system

Pull Mode

One of the simple example to see this mode of text data access is Search Engine. A user will always input the text or a query to the system and the system will try to find relevant media in context with a given search. So we can say that users take initiative in this mode. Also, the system wants us to input certain information for further steps i.e Ad hoc information is needed for this mode of text access. The below figure is an example of this mode of accessing information.

#text-mining #recommendation-system #information #machine-learning #data-science #deep learning