Mountain View, CA, United States
Mountain View, CA, United States

LinkedIn is a business-oriented social networking service. Founded in December 2002 and launched on May 5, 2003, it is mainly used for professional networking. In 2006, LinkedIn increased to 20 million members. As of June 2013, LinkedIn reports more than 259 million acquired users in more than 200 countries and territories.The site is available in 20 languages, including Chinese, English, French, German, Italian, Portuguese, Spanish, Dutch, Swedish, Danish, Romanian, Russian, Turkish, Japanese, Czech, Polish, Korean, Indonesian, Malay, and Tagalog. As of 2 July 2013, Quantcast reports LinkedIn has 65.6 million monthly unique U.S. visitors and 178.4 million globally, a number that as of 29 October 2013 has increased to 184 million. In June 2011, LinkedIn had 33.9 million unique visitors, up 63 percent from a year earlier and surpassing MySpace. LinkedIn filed for an initial public offering in January 2011 and traded its first shares on May 19, 2011, under the NYSE symbol "LNKD". Wikipedia.

SEARCH FILTERS
Time filter
Source Type

Patent
LinkedIn | Date: 2016-01-26

A computer-implemented method, including detecting an event associated with an image displayed on a display device within a software application, loading a media player into the software application behind the image, where the media player is configured to play a media file associated with the image, and causing a representation of a frame of the media file to be displayed within the media player instead of the image.


Patent
LinkedIn | Date: 2016-02-08

Methods of identifying and communicating information pertaining to career path gaps between members of a social network system are disclosed. A career path corresponding to a plurality of members of a social network system is identified. Levels of professional qualifications of each of the plurality of members are identified. The identifying includes analyzing known data items pertaining to the levels of the professional qualifications and analyzing additional data items inferred from the known data items pertaining to the levels of professional qualifications for each of the plurality of members. A career path gap between a member of the plurality of members and an additional member of the plurality of members is identified. The career path gap includes a difference in the levels of professional qualifications between the member and the additional member. Information pertaining to the career path gap is communicated for presentation to the member in a user interface.


A method for a computer system includes determining a first social distance for a first user with respect to a second user, determining a second social distance for a third user with respect to the second user, determining a first qualitative rating associated with the first user, determining a second qualitative rating associated with the second user, determining a first trust-metric for the first user in response to the first social distance and the first qualitative rating, determining a second trust-metric for the third user in response to the second social distance and the second qualitative rating, and prioritizing a first listing from the first user over a second listing from the third user for the second user, in response to the first trust-metric and the second trust-metric.


Patent
LinkedIn | Date: 2016-02-11

A machine may be configured to schedule the generation of content for members of a social networking service. For example, the machine identifies one or more members of a social networking service who are associated with an optimal delivery time that identifies a time that is optimal for transmitting an item of digital content to the one or more members. The machine schedules an execution of a job for generation of the item of digital content. The execution of the job is performed at a content generation time that is prior to the optimal delivery time. The machine executes the job at the content generation time. The executing generates the item of digital content. The machine transmits one or more communications including the item of digital content to one or more devices associated with the one or more members, at the optimal delivery time.


A system and method for behavior influenced search ranking may include obtaining, via a network interface, a search term from a user device. An initial result including a first group of the user profiles may be generated based on user profiles from a social network in relation to the search term, the user profiles stored in a profile database. A rank of each of the first group of the user profiles may be determined based, at least in part, on interactions from an activity database corresponding to the first group of the user profiles, the activity database storing information indicative of activities related to the social network, the activities including the interactions. The user device may display a second group of the user profiles, including at least some of the first group of the user profiles, according to the rank of the first group of the user profiles.


This disclosure is directed to large-scale graph processing to determine second-degree connections for members of a social network. A social graph is duplicated into two graphs, where each of the two graphs are partitioned into various partitions. The partitions are each sorted according to a predetermined key selected from each of the graphs. The partitions are then assigned logical Work Units, where a first set of Work Units are determined from a first graph and second set of Work Units are determined from a second graph. The Work Units are determined to be asymmetrical such that the partitions of the first set of Work Units are assigned differently than the partitions of the second set of Work Units. One set of Work Units are loaded in-memory and another set of Work Units are streamed to a mapping module process, which determines the second-degree connections from the sets of Work Units.


Patent
LinkedIn | Date: 2016-08-29

Techniques for inferring a time zone of a user (e.g., a member of an online social network service) are described. According to various embodiments, it is determined that a particular member of an online social networks service is currently located in a particular country. Responsive to determining that a single time zone is associated with the particular country, it is determined that the particular member is currently located in the single time zone. Responsive to determining that multiple time zones are associated with the particular country, an IP address associated with a user login request is accessed, a geographic location associated with the IP address is identified, and a specific one of the multiple time zones that corresponds to the geographic location is identified. It is determined that the particular member is currently located in the specific time zone.


A system may include a database configured with individual partitions, one of the partitions corresponding to a sponsored content campaign of a social network. The system may further include multiple servers each communicatively coupled to the database, and each configured to implement a campaign having a campaign termination criterion. Each of the servers may include a processor configured to track sponsored content event data received from a user device based on the campaign and transmit the event data to the database and terminate the campaign based on a comparison of the event data as received from a partition of the database corresponding to the campaign and an estimation of event data not received from the database. The database may be configured to store the event data as received from the servers in the partition corresponding to the campaign upon receipt of the event data.


Systems and methods for providing push notifications of social network content items include determining first and second engagement values for first and second content items, respectively, provided by first and second content item sources, respectively, based on previous interactions with content items. First and second utility values are determined for the first and second content items, respectively, based on a mathematical operation applied to the first and second engagement values, respectively, the first and second selection metrics, respectively, and, for the first utility value, the value metric. One of the first and second content items are determined as a push content item based on a difference between the first and second utility values and displayed on a user device.


A method and system for evaluating the reputation of a member of a social networking system is disclosed. Consistent with an embodiment of the invention, one or more attributes associated with a social networking profile of a member of a social network are analyzed. Based on the analysis, a ranking, rating or score is assigned to a particular category of reputation. When requested, the ranking, rating or score is displayed to a user of the social network.

Loading LinkedIn collaborators
Loading LinkedIn collaborators