Oftentimes, the documents we want to search have some amount of structure. Scholarly articles, for example, usually have a title, a set of authors, an abstract$,$ a main body, a references section, and possibly an appendix. It turns out that weighting some parts of a document $($e$.$g$.,$ the title$)$ more heavily than other parts $($e$.$g$.,$ the appendix$)$ improves retrieval performance. The general idea is that a document with many of the query$-$terms appearing in the title should be scored and rank higher than a document with many of the query$-$terms appearing in the appendix$$the title describes the main content of the document better than the appendix.

Suppose you have a collection of documents with two non$-$overlapping fields: a TITLE field and a BODY field. And, suppose you have access to an out$-$of$-$the$-$box search engine that performs vector space model retrieval using a binary text representation $(1$s and $0$s$)$ and inner$-$product scoring. Your goal is to design a solution that weights the TITLE field more than the BODY field. In other words, if you have a query with a single query term $($e$.$g$.,$jack$),$ you want a document that has $$jack$$ in the title $($and nowhere else$)$ to be scored and ranked higher than a document that has $$jack$$ in the body $($and nowhere else$).$

How would you do this? $($HINT: there are many right answers. Be creative and have fun!$).$