Abstract:
Exemplary methods, apparatuses, and systems for processing a search query of a user are detailed. For example, a search query may be received from a user at a social networking system, processed to generate a search result of a plurality of entity result cards and each result card that each include a plurality of order comments about the entity, a plurality of ordered images associated with the entity, contact information for the entity, wherein the comments and images take into account information about the user stored at the social networking system, and a result send to the user.
Abstract:
Exemplary methods, apparatuses, and systems for processing a search query of a user are detailed. For example, a search query may be received from a user at a social networking system, processed to generate a search result of a plurality of entity result cards and each result card that each include a plurality of order comments about the entity, a plurality of ordered images associated with the entity, contact information for the entity, wherein the comments and images take into account information about the user stored at the social networking system, and a result send to the user.
Abstract:
In one embodiment, a method includes a computing system receiving a query from a first user, which can be parsed to identify i conditions associated with the query. The system may then identify one or more search results substantially matching the i conditions. Each search result may be associated with a feature vector of j features. The system may then access a conditioned ranking model that comprises j scoring functions for each i condition. The j scoring functions may correspond to j features of the feature vectors. A score for each search result may be calculated based on the i conditions and the j features. The system may then receive a selection of one of the search results from the first user, and in response modify one or more of the j scoring functions of the conditioned ranking model based on the selection.