Abstract: In an example embodiment, a first set of results from first search results are displayed in a user interface. A plurality of facets, including selectable filters, of the first search results are displayed. A sampling scheme is retrieved, with the sampling scheme defining a first sampling rate for a first number of search results and a second sampling rate for a second number of search results. The first search results are traversed using the sampling scheme, sampling search results for the first number of search results at the first sampling rate and sampling search results for the second number of search results at the second sampling rate, for each sampled search result, causing an increase in a facet count for a facet and/or selectable filter having a matching value in the sampled search result. Facet counts for each of the facets and/or selectable filters are displayed in the user interface.

Abstract: In an example embodiment, a first set of results from first search results are displayed in a user interface. A plurality of facets, including selectable filters, of the first search results are displayed. A sampling scheme is retrieved, with the sampling scheme defining a first sampling rate for a first number of search results and a second sampling rate for a second number of search results. The first search results are traversed using the sampling scheme, sampling search results for the first number of search results at the first sampling rate and sampling search results for the second number of search results at the second sampling rate, for each sampled search result, causing an increase in a facet count for a facet and/or selectable filter having a matching value in the sampled search result. Facet counts for each of the facets and/or selectable filters are displayed in the user interface.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which allow for fast and efficient advertisement selection using search indices. Selection criteria of the advertisement campaigns are converted into documents using a conversion schema. The documents are then indexed to create an advertising campaign index. Member profile data is then converted into a member search query using the conversion schema. The member search query is then issued to a search engine which uses the advertising campaign index to find matching campaigns.