Abstract: An apparatus is provided for outputting suggested query items by a group-based communication platform. The apparatus may include at least one memory and at least one processor configured to detect group-based communication platform query data stored in a memory of the apparatus. The processor is also configured to rank suggested query items based on the group-based communication platform query data. The processor is further configured to detect non-keystroke engagement of a search input interface of the group-based communication platform. The processor is further configured to determine a first subset of the suggested query items based on the ranking of the suggested query items and automatically launch a query suggestion interface including a first subset of the suggested query items in response to detecting the non-keystroke engagement of the search input interface. Corresponding methods and computer program products are also provided.

Abstract: Media recommendation techniques are described. In an implementation, a similarity value is calculated for a plurality of media using a plurality of similarity functions. A vote is assigned for each similarity value that is above a threshold that is assigned for a respective similarity function and the plurality of media is ranked based at least in part on the assigned votes. A playlist is then created based at least in part on the ranking. Media seed techniques are also described. In an implementation, a set of dissimilar candidates are calculated for a plurality of media using a similarity function in which the set of dissimilar candidates describes the media that is dissimilar in comparison with other media included in the plurality of media. A seed is selected using the set of the dissimilar candidates to create a playlist that includes at least some of the plurality of media.

Abstract: Media recommendation techniques are described. In an implementation, a similarity value is calculated for a plurality of media using a plurality of similarity functions. A vote is assigned for each similarity value that is above a threshold that is assigned for a respective similarity function and the plurality of media is ranked based at least in part on the assigned votes. A playlist is then created based at least in part on the ranking. Media seed techniques are also described. In an implementation, a set of dissimilar candidates are calculated for a plurality of media using a similarity function in which the set of dissimilar candidates describes the media that is dissimilar in comparison with other media included in the plurality of media. A seed is selected using the set of the dissimilar candidates to create a playlist that includes at least some of the plurality of media.