Abstract: Exemplary embodiments relate to techniques for identifying messaging robots, or bots, to surface in response to a request. For example, in order to facilitate increased interaction between a user and a bot, a list of candidate bots that the user is likely to be interested in may be surfaced to the user in response to a search for a bot or a request that a bot perform a particular task. Identifying the bots may be accomplished by generating a list of candidate bots and filtering the list based on filtering metrics. Then, the remaining bots may be ranked based on ranking metrics, and the top bots in the ranking may be returned. In some embodiments, two sets of ranks may calculated: one for retention rate, and another rank for the number of messages sent and received by the bots.

Abstract: Techniques for ranking of selected bots are described. In one embodiment, for example, an apparatus may comprise a client front-end component operative to receive a bot contact display prompt from a client device; and send an ordered bot contact list to the client device; a bot contact list component operative to retrieve a bot contact list from a selection component, the bot contact list comprising a plurality of bot contacts; and a contact ranking component operative to determine a ranking weight for each of the plurality of bot contacts; and generate the ordered bot contact list by ordering the bot contact list based on the ranking weight. Other embodiments are described and claimed.

Abstract: Exemplary embodiments relate to techniques for identifying messaging robots, or bots, to surface in response to a request. For example, in order to facilitate increased interaction between a user and a bot, a list of candidate bots that the user is likely to be interested in may be surfaced to the user in response to a search for a bot or a request that a bot perform a particular task. Identifying the bots may be accomplished by generating a list of candidate bots and filtering the list based on filtering metrics. Then, the remaining bots may be ranked based on ranking metrics, and the top bots in the ranking may be returned. In some embodiments, two sets of ranks may calculated: one for retention rate, and another rank for the number of messages sent and received by the bots.

Abstract: Exemplary embodiments relate to techniques for providing search results, such as when performing a type-ahead search. If an exact match to the search query is available, the exact match is used. If no exact match exists, search results are prioritized based primarily on responsiveness and pixel data, and secondarily based on metrics including locale/location, fancount, and social signal information. If a user searches for an entity having multiple results, the system will attempt to find a local result that is proximate to the user, but will prioritize a search hit for a more responsive result over other results. This boosts the chance that the user will get a response if they leave a message for the searched entity. Entities may be omitted from search results if they are unable to send or receive messages.

Abstract: Various embodiments are generally directed to techniques for device configuration using commerce messaging history information. In one embodiment, an apparatus may comprise a messaging component operative to receive a bot subscription command for a user account with a messaging system from a client device, the bot subscription command specifying a messaging bot; a bot framework component operative to determine a messaging bot channel for the messaging bot; subscribe the user account to the messaging bot channel for the messaging bot in response to the bot subscription command; and receive a broadcast message from the messaging bot, the messaging bot specifying a broadcast channel; and a broadcast component operative to add the broadcast message to a message queue for the user account when the messaging bot channel matches the broadcast channel. Other embodiments are described and claimed.