Abstract: Temporal proximity of newly formed social relationships is used to determine the likelihood of common features being shared by users in the newly formed social relationships. The respective times in which each of a plurality of new relationships are formed are determined to be related to each other, and user information associated each of a plurality of respective contact accounts who are the subject of the new relationships are compared, and a common feature likely shared by the respective contact accounts is identified based on the comparing.

Abstract: A method is disclosed for estimating a duration that an instance of subject matter-related content will remain relevant. An archive of data sources spanning a period of time is analyzed to identify past instances in time in which a subject matter was newsworthy, and the duration of each instance. On receiving an indication that a user is interested in a current instance of the subject matter, an estimated period of time that the current instance will be of interest to the user is may be determined based on the duration of the past instances. In some aspects, the archive may be a corpus of social media data compiled from a social network, with each data source including or representative of an interaction between users in the social network, and the current instance of the subject technology may include content provided to the user through a social stream.

Abstract: Implementations generally relate to hashtags. In some implementations, a method includes providing one or more location-based contextual hashtags to a user by receiving, from a first user device associated with a first user, information indicative of a physical location of the first user device. The method further includes identifying, with one or more processors, a place of interest based on the information indicative of the physical location of the first user device. The method further includes determining a category associated with the place of interest. The method further includes retrieving one or more hashtags from one or more databases based on the place of interest or the category associated with the place of interest. The method further includes providing the one or more hashtags and information about the place of interest to the first user device.

Abstract: In one aspect, a method includes receiving an indication that a first user has interacted with a second user in a social network, calculating a social affinity score between the first user and the second user based on first user information, second user information, or relationship information between the first user and the second user and scheduling delivery of a notification to the recipient based on the social affinity score. Systems and machine-readable media are also provided.

Abstract: Computer-implemented methods and systems of determining semantic place data include receiving a plurality of location data reports from a plurality of mobile devices, partitioning them into localized segments, and estimating a geographic region bucket for each segment. For clustering canopies of localized segments identified as satisfying a potential geographic overlap characterization, an overlap score is calculated that correlates the overlap among actual geographic regions covered by movement of the mobile devices generating the localized segments in that given clustering canopy. A data structure that provides a hierarchical clustering configuration of the localized segments in each geographic region bucket is generated from the determined overlap scores. Additional semantic data for nodes in the data structure can also be provided.

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract: Systems and methods for identifying an entity associated with a wireless network access point are provided. An estimated location of a wireless network access point and a network name associated with a wireless network access point can be accessed. The network name can be analyzed to identify at least one text signal. An entity associated with the wireless network access point can be identified based at least in part on the text signal. For instance, a confidence score for a plurality of candidate entities identified using the estimated location of the wireless network access point can be determined based on the text signal. The confidence score can be used to identify the entity associated with the wireless network access point. Information associated with the entity can be presented in a graphical user interface.

Abstract: Systems and methods for ascertaining capacities of location entities. A plurality of location reports can be obtained from one or more user device. Each of the plurality of location reports can include at least a set of data indicative of an associated location and time. A number of user devices associated with the location entity can be determined. A capacity of the location entity can be estimated based, at least in part, on the number of user devices associated with the location entity.

Abstract: Aspects of the subject technology relate to a social-networking system, including one or more computers communicatively coupled via a network. In certain aspects, the computers are configured to perform operations including, receiving one or more indications that a common user has initiated a connection with each of a plurality of contacts in a social network and identifying two or more contacts, from among the plurality of contacts, that share a temporal relationship with respect to the connections formed between the common user and the respective two or more contacts in the social network. In certain implementations, the operations can further include comparing information associated with the two or more contacts to determine a likelihood that a common feature is shared by the two or more contacts. Computer-implemented methods and computer-readable media are also provided.

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract: Computer-implemented methods and systems of determining semantic place data include receiving a plurality of location data reports from a plurality of mobile devices, partitioning them into localized segments, and estimating a geographic region bucket for each segment. For clustering canopies of localized segments identified as satisfying a potential geographic overlap characterization, an overlap score is calculated that correlates the overlap among actual geographic regions covered by movement of the mobile devices generating the localized segments in that given clustering canopy. A data structure that provides a hierarchical clustering configuration of the localized segments in each geographic region bucket is generated from the determined overlap scores. Additional semantic data for nodes in the data structure can also be provided.

Abstract: Systems and methods for identifying an entity associated with a wireless network access point are provided. An estimated location of a wireless network access point and a network name associated with a wireless network access point can be accessed. The network name can be analyzed to identify at least one text signal. An entity associated with the wireless network access point can be identified based at least in part on the text signal. For instance, a confidence score for a plurality of candidate entities identified using the estimated location of the wireless network access point can be determined based on the text signal. The confidence score can be used to identify the entity associated with the wireless network access point. Information associated with the entity can be presented in a graphical user interface.

Abstract: Aspects of the subject technology relate to a social-networking system, including one or more computers communicatively coupled via a network. In certain aspects, the computers are configured to perform operations including, receiving one or more indications that a common user has initiated a connection with each of a plurality of contacts in a social network and identifying two or more contacts, from among the plurality of contacts, that share a temporal relationship with respect to the connections formed between the common user and the respective two or more contacts in the social network. In certain implementations, the operations can further include comparing information associated with the two or more contacts to determine a likelihood that a common feature is shared by the two or more contacts. Computer-implemented methods and computer-readable media are also provided.

Abstract: A method of setting privacy level values for a user. The method includes receiving a designation of a relative privacy level for the user and receiving a selection of a group of other users for the user. Plural sets of privacy level values are associated with the group of other users. The method also includes setting privacy level values for the user based on the designation of the relative privacy level and the plural sets of privacy level values associated with the selected group of other users.

Abstract: Systems and methods for identifying an entity associated with a wireless network access point are provided. An estimated location of a wireless network access point and a network name associated with a wireless network access point can be accessed. The network name can be analyzed to identify at least one text signal. An entity associated with the wireless network access point can be identified based at least in part on the text signal. For instance, a confidence score for a plurality of candidate entities identified using the estimated location of the wireless network access point can be determined based on the text signal. The confidence score can be used to identify the entity associated with the wireless network access point. Information associated with the entity can be presented in a graphical user interface.

Abstract: Provided is a process and system for ascertaining the operating hours of a business. The process includes obtaining wireless-environment data indicative of the location of business and a timestamp; determining that a user device is located at the business responsive to both the wireless-environment data and wireless-environment data from checked-in user devices that have checked-in to the business via a social network; storing the timestamp in a timestamp data store; estimating operating hours of the business responsive to stored timestamps; and storing the estimated operating hours in a business-hours data store.

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract: Systems and methods for identifying an entity associated with a wireless network access point are provided. An estimated location of a wireless network access point and a network name associated with a wireless network access point can be accessed. The network name can be analyzed to identify at least one text signal. An entity associated with the wireless network access point can be identified based at least in part on the text signal. For instance, a confidence score for a plurality of candidate entities identified using the estimated location of the wireless network access point can be determined based on the text signal. The confidence score can be used to identify the entity associated with the wireless network access point. Information associated with the entity can be presented in a graphical user interface.

Abstract: A method of setting privacy level values for a user. The method includes receiving a designation of a relative privacy level for the user and receiving a selection of a group of other users for the user. Plural sets of privacy level values are associated with the group of other users. The method also includes setting privacy level values for the user based on the designation of the relative privacy level and the plural sets of privacy level values associated with the selected group of other users.