$1.$ Online news streaming company decides to develop a utility$-$based intelligent agent that delivers personalized news for every reader. The set of news is organized, sequenced and collated so that the news order is specific to every client based on his$/$her emotional makeup and progressive relevance.

Assume news with a set of $50$ news $($date$,$ title and news content$).$ Also, take a set of $15$ readers $($assume profile of readers $$ profession, age, gender, recent news read, location$)$

$2.$ The above example uses K means clustering and clusters the news $$ map these clusters to readers. The centroid will be used to assign the pivot news. Rewrite the above algorithm using clustering.

$3.$ Propose your own $($new and different$)$ approach to deliver a better solution. Provide all details of this approach including diagram, pseudo code and mathematical model.