There's this side project I'm working on where I need to structure a solution to the following problem.
I have two groups of people (clients). Group "A" intends to buy and group "B" intends to sell a determined product "X".
The product has a series of attributes x_i and my objective is to facilitate the transaction between "A" e "B" by matching their preferences. The main idea is to point out to each member of "A" a corresponding in "B" who’s product better suits his needs, and vice versa.
Some complicating aspects of the problem:
The list of attributes is not finite. The buyer might be interested in a very particular characteristic or some kind of design which is rare among the population and I can’t predict. Can’t previously list all the attributes;
Attributes might be continuous, binary or non-quantifiable (ex: price, functionality, design).
Any suggestion on how to approach this problem and solve it in an automated way?
The idea is to really think out of the box here so feel free to "go wild" on your suggestions.
I would also appreciate some references to other similar problems if possible.