Abstract:
Methods, systems, and apparatus, including computer programs for identifying, using historical interactions associated with a first user, contact groups, where the first user is associated with each contact group, are provided. A score, with respect to a second user, is calculated for each contact group based on an amount of interaction between the second user and the respective contact group, thereby deriving a plurality of scores. A first contact group is determined. The first contact group has a first score in the plurality of scores that satisfies a predetermined threshold. A contact group suggestion is generated, responsive to the determining, that comprises an invitation to add the second user to the first contact group. The first user is notified of the contact group suggestion.
Abstract:
In some implementations, a method includes, at a computing device, identifying a first recipient of a draft electronic communication prepared by a user. A is score is obtained for a second recipient using respective messages in a plurality of historical messages in a user account associated with the user. The second recipient is a sender or receiver of the respective messages. There is suggested to a user, second recipient for the draft electronic communication in accordance with a condition that both the first recipient and the second recipient shared a single electronic communication and the score for the second recipient satisfies a predefined score threshold. The single electronic communication was communicated at a time prior to identifying the first recipient.
Abstract:
Techniques for providing interactive visualizations for an entity or group of entities based on search interest data are provided. The search interest data may be derived from Internet or online search data related to the entities and relevant attributes of the entities. Each of the entities and attributes may be represented in a structured search market using a predefined list of relevant search terms or keywords. The search interest of each entity and attribute may be determined based on probabilities representing a likelihood of a search for an entity co-occurring with a search for a relevant attribute within a predetermined time proximity.
Abstract:
Implementations of the present disclosure include generating one or more suggested social circles based on an analysis of past user interactions. The user can accept the suggested social circle and use it to distribute digital content. Generating a suggested social circle can include determining, for each of various sets of contacts, an initial score that represents a strength of the particular user's affinity to the set as a whole based on prior interactions of the particular user with the set, and determining, for each member of each set, an individual score that represents an average strength of the particular user's affinity to the member based on the interactions. An overall score for each set is calculated based on the initial score for the set and the individual scores of each member in the set. Based on the overall scores, at least one of the sets is identified for presentation as a suggested social circle to the particular user. Social circle data corresponding to the suggested social circle is transmitted to display a representation of the suggested social circle on a client device associated with the particular user.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying related questions for a search query is described. One of the methods includes receiving a search query from a user device; obtaining a plurality of search results for the search query provided by a search engine, wherein each of the search results identifies a respective search result resource; determining one or more respective topic sets for each search result resource, wherein the topic sets for the search result resource are selected from previously submitted search queries that have resulted in users selecting search results identifying the search result resource; selecting related questions from a question database using the topic sets; and transmitting data identifying the related questions to the user device as part of a response to the search query.
Abstract:
Systems and methods are disclosed for providing an explanation of an estimate for information missing from a data graph. An example method may include receiving a query that requests information for a first entity and receiving an estimate for the information, the estimate being based on a plurality of features of a joint distribution model. The method may include determining respective contribution scores for the plurality of features, selecting a quantity of the features with highest contribution scores, generating, using the selected quantity of features, an explanation for the estimate; and providing the explanation and the estimate as part of a search result for the query.
Abstract:
Systems and methods offer a search system with third-party provided search applications that are triggered in response to specified queries and run at the search system. For example, a method may include determining that a query triggers a third party search application hosted at the search system, extracting a parameter from the query based on a query template, executing the third party search application with the parameter in a sandboxed manner at the search system to generate a third-party formatted answer for the query, and providing the third-party formatted answer as a search result for the query. The third party may provide the query template, parameter attributes, and the third party formatted answer. The third party search application may be stored at the search system and include the query template, a data store, the parameter attributes, and instructions for accessing the data store using the parameter.