Microsoft Technology Licensing, LLC

Linkedin Corporation

Gloria Lau

Vitaly Gordon

Aastha Jain

Nikita Igorevych Lytkin

Peter Nicholas Skomoroch

Jason Schissel

Jacob Bank

Zhigang Hua

Saveliy Uryasev

Farid Hosseini

Kin Fai Kan

Mohammad Omid Monshizadeh

Luke MacDonald Vilnis

Andrew David Blevins

Kin Kan

Method, apparatus, and a computer-readable storage device for determining similarities. A plurality of sets having social network service members as entities is constructed by associating each of the social network service members with each of a predetermined selection of professional outcomes by school of graduation of the member. One of the plurality of sets is selected. A similarity algorithm calculates the similarity score of at least some of the plurality of sets in the plurality of sets to the selected one of the plurality of sets, and presents for rendering the k sets in the plurality of sets with the highest similarity scores. The similarity algorithm used may be a cosine similarity algorithm using the sets as vectors.

Methods and systems for identifying similar schools

Techniques for inferring the identity (e.g., member profile attributes) of members of an online social network service are described. According to various embodiments, a member profile attribute missing from a member profile page associated with a particular member of an online social network service is identified. Member profile data and behavioral log data associated with a plurality of members of the online social network service is then accessed. Thereafter, a prediction modeling process is performed, based on a prediction model and feature data including the member profile data and the behavioral log data, to generate a confidence score associated with the particular member and the missing member profile attribute, the confidence score indicating a likelihood that the missing member profile attribute corresponds to a candidate value.

Inferred identity

Techniques for optimizing a guided edit process for editing a member profile page are described. According to various embodiments, profile edit task information associated with a member of an online social network service is accessed, the profile edit task information identifying one or more candidate profile edit tasks to be performed to update a member profile page of the member. Thereafter, if it is determined that the member recently completed a difficult profile edit task, a difficult candidate profile edit task is identified, and the member is prompted to perform the difficult candidate profile edit task. If it is determined that the member has not recently completed a difficult profile edit task, an easy candidate profile edit task is identified, and the member is prompted to perform the easy candidate profile edit task.

Guided edit optimization

A system and computing instructions may include a user device, a social network database, and a processor. The user device may include a user interface configured to display a web browser. The social network database may be configured to store social network information related to an entity. The processor may be configured to identify the entity based on content of a webpage displayed on the web browser of the user device, obtain social network information related to the entity from the social network database based on a social network relationship between the user and the entity, and display the social network information on the web browser of the user device.

Displaying social networking information based on identified entity

A method and system to suggest keywords to a social network member is described. A suggested keywords system, in one example embodiment, examines phrases that appear in profiles maintained by the on-line social networking system that are similar to the target profile and identifies those words and phrases that are most prominent in these profiles, utilizing a graph-based approach. These most prominent words and phrases may be presented to the target member as suggested keywords to be included in the member's professional summary.

Suggested keywords

A suggested keywords system is configured for identifying phrases, which are most relevant to experience and expertise of a professional network member, and which the member may be interested in weaving into their profile summary. The suggested keywords system generates a model, for each phrase, that calculates probability of that phrase being present in a profile that is characterized by the absence of certain attributes and by the presence of certain attributes. Based on the model, the suggested keywords system calculates a ranking value for the phrase for a particular target profile. The phrases with the higher rank are considered to be more relevant in describing professional background of the target member. A certain number of phrases that have the highest ranking are presented to the member as suggested keywords to be included in their professional summary.

A method and system to suggest keywords to a social network member is described. A suggested keywords system, in one example embodiment, examines phrases that appear in profiles maintained by the on-line social networking system that are similar to the target profile and identifies those words and phrases that are most prominent in these profiles, utilizing discriminative strength values. These most prominent words and phrases may be presented to the target member as suggested keywords to be included in the member's professional summary.

Systems, methods and a machine-readable media are described herein for a salary range engine to identify at least one attribute of a first member profile from a plurality of member profiles of a social networking service. The salary range engine correlates the at least one attribute with respect to at least a portion of trained salary data in a trained salary data repository. The salary range engine infers a target salary range based on a correlation between the at least one attribute of the first member profile and at least the portion of the trained salary data.

Inferred salary distribution for schools

Techniques for modifying search results associated with a search request based on a determination that a member profile attribute is inaccurate are described. According to various embodiments, an existing member profile attribute included in a member profile page of a particular member of an online social network service is identified. Member profile data and behavioral log data associated with a plurality of members of the online social network service is then accessed. Prediction modeling to verify the existing member profile attribute is performed using the accessed data. Additionally, a confidence score associated with the existing member profile attribute is generated based on the prediction modeling. Moreover, the existing member profile attribute is determined to be inaccurate based on the generated confidence score. Furthermore, the search results associated with a search request is modified based on the determination.

Growing community of inventors

Los Altos, CA, United States of America

Gloria Lau