Poster Title:
Multi-factor Clustering for a Marketplace Search Interface
Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to the user. However, depending on how specific the user is, or how clear the user is on what he/she is searching, a large number of results may be returned. Users struggle to manage this vast result set looking for the items of interest. Clustering search results is one way of alleviating this navigation pain. In this paper we describe a clustering system that enables clustering search results in an online marketplace search system. The online marketplace we focus on poses unique challenges in indexing and findability. In this paper we describe the design and implementation of a clustering system to help cluster search results in such an environment.