Abstract: Techniques for improving a search user interface by demoting a set of spam user profiles included in a listing of candidate user profiles that are to be presented in response to a search request are disclosed herein. The search request is received from a client device. The search request requests the listing of candidate user profiles corresponding to a search query. The listing of candidate user profiles corresponding to the search query is determined. A trained spam detection model is applied to each of the candidate user profiles to identify the set of spam user profiles. The demoting of the spam user profiles is performed. The listing of candidate user profiles is communicated for presentation in the search user interface, the presentation reflecting the demoting of the spam user profiles.

Abstract: Techniques for improving a search user interface by demoting a set of spam user profiles included in a listing of candidate user profiles that are to be presented in response to a search request are disclosed herein. The search request is received from a client device. The search request requests the listing of candidate user profiles corresponding to a search query. The listing of candidate user profiles corresponding to the search query is determined. A trained spam detection model is applied to each of the candidate user profiles to identify the set of spam user profiles. The demoting of the spam user profiles is performed. The listing of candidate user profiles is communicated for presentation in the search user interface, the presentation reflecting the demoting of the spam user profiles.

Abstract: Techniques for implementing a search query dispatcher using machine learning are disclosed herein. In some embodiments, a method comprises: receiving a search query comprising at least one term entered by a user via a computing device; determining a search intention for the search query based on the term(s) of the search query, the determining comprising determining the search intention to be either a single-target search intention to find a specific single result or multiple-target search intention to find multiple results having at least one common characteristic; selecting a search intention model for the search query from amongst a plurality of distinct search intention models based on the determined search intention, the plurality of distinct search intention models comprising a single-target search model for the single-target search intention and a multiple-target search model for the multiple-target search intention; and generating search results using the selected search intention model.