Feature #1: Group Similar Titles
Explore how to group similar titles using frequency vectors in Java to handle misspelled searches. Understand how to precompute and map anagrams with hash maps for efficient retrieval, improving search accuracy and performance.
We'll cover the following...
Description
First, we need to figure out a way to individually group all the character combinations of each title. Suppose the content library contains the following titles: "duel", "dule", "speed", "spede", "deul", "cars". How would you efficiently implement a functionality so that if a user
misspells speed as spede, they are shown the correct title?
We want to split the list of titles into sets of words so that all words in a set are anagrams. In the above list, there are three sets: {"duel", "dule", "deul"}, {"speed", "spede"}, and {"cars"}. Search results should comprise all members of the set that the search string is found in. We should pre-compute these sets instead of forming them when the user searches a title.
Here is an illustration of this process:
Solution
From the above description, we see that all members of each set are characterized by the same frequency of each alphabet. This means ...