I'm trying to understand the pros and cons of different methods to hit highlighting matching text within the search box drop down suggestions. I'm aware of the article by NN group https://www.nngroup.com/articles/site-search-suggestions/ in which they specified good practices such as:
- when matching word is upfront, highlight the completing text
- when matching word is within, highlight the matching word
This is quite clean when we only look at query formulation and query completion. I'm looking at suggestions that support matches on other metadata such as author or storage location to name a couple of them. When the data gets complex I feel the model NN group suggest doesn't help to quickly scan and read through the suggestions.
At the moment I'm looking at 3 potential models
Does anyone have experience with a similar challenge? Which model is the most desired and why? Eventually, are there any other models I'm missing out?