I'm looking for the name of the pattern or technique whereby one can dynamically choose to add, remove, or alter search criteria. I'm thinking it is mostly (if not fully) rule-driven, but I'm not sure if that's a requirement or just a useful application for the technique.

I'll try to explain briefly how it works. The user is presented with a list (of some sort) of the available search criteria, and when a criteria is chosen it is added to a 'bucket' of criteria where it can be refined or removed.

Let's use a bookstore analogy. The criteria would be "author", "title", "publisher" and "date". If the user selects the "author" criteria, "author" is added to the 'bucket' and given some rule-driven context; for simplicity, let's just say that for "author" you might present the user with a text-input box. Then if the user chooses "date", they are given some means to input a date, and they can choose something like "before" or "after"; at this point, they can add another "date" criteria. This would let them choose "before" in the 1st one, and "after" in the 2nd one (to provide for a min and max search on "date").

The power in this type of search is that at any time before or after running the search, the user can remove (with a small "x") any given criteria, or continue piling on more criteria.

I've seen this type of search in the wild, but of course now that I need a working example of it I can't find it, and even if I could find it I wouldn't know what the proper term for the technique is so that I can research it further.

EDIT: This site is almost exactly what I'm looking for (where it says "Use this form to construct your query"):


There, you're given a single input for positive criteria, and another for negative criteria (though I believe that could be rolled into a single input), and then you choose a criterion and a value. The only aspect missing in the search itself is the granular controls such as "starts with", "greater than", etc. but that seems to be a simple design decision. Also missing, in the results it doesn't give the user the option to disqualify criteria that was previously selected. Again, this looks to be a design decision; I think it would be trivial to re-display the search form again, pre-populated just as the user had entered it. In other words, what I'm looking for is to have the results loaded under the search area so that the criteria could be readjusted if needed.

Faceted Search seems to many times use this approach, but I don't believe that this method of building the search criteria is specific to Faceted Search. From what I can gather, Faceted Search is the practice of giving your searchable items >1 facets which you can use to search by. I'm not looking to assign multiple facets to a single data item; the criterion are linear in that I don't believe there is any overlap whereby it'd even be possible to assign multiple facets.

  • Yes, faceted search. What you're referring to is Chips in Material Design.
    – Ken J
    Commented Jun 16, 2018 at 4:40

2 Answers 2


You seem to be talking about faceted search, specifically of creating and managing faceted queries.

You're describing something like the tag editor in WordPress, where tags are listed with little delete buttons next to them. These are used for search filters in Hearst's Flamenco search UI, though in her papers on it, she does not give the deletable-query-boxes a specific name. (I'm not sure there is a name for this.)

There are quite a few examples of how faceted search filters have been implemented on the web in an article by Greg Nudelman on UX Matters. You might find it useful to read through it.

Note that the designs by which you present search filters differ, typically by the kind of facet (the variable or column in the dataset being searched). Strict hierarchies (say, "genre") are often put in breadcrumbs. Ranges are made into discrete chunks ("prices" as in $10–$20, $21—$50, etc.) that are toggled on or off, or have from-x-to-y ranges ("date" as in ).


Based on the updated text and the added example, I think ad-hoc (or freeform) vs structured (or simply, filtered) perhaps is the relationship you are trying to describe and what is demonstrated.

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