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 appendixthe 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 (1s and 0s) 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?