Abstract: A title standardization system is may be configured to detect an edit operation associated with the job title field of a member profile stored by an on-line social network system and, in response, perform operations to derive a canonical title that represents a raw title string found in the job title field. The derived canonical title may be then associated with the member profile, in which the originally-obtained subject title string was found. This association may be stored in a database for future use, e.g., for targeting job recommendations, recruiting, making professional contacts, as well as for other purposes.

Abstract: Method and system to determine a company rank utilizing on-line social network data is described. A company ranking system may examine member profiles representing respective members of an on-line social network system and extract transition data. From the transition data, the company ranking system may construct a company transition graph having nodes that represent respective companies and edges that represent transitions of employees from one company to another. A rank or a node score for each node of the company transition graph may be determined by applying a ranking algorithm to the graph. The scores generated for respective nodes in the company transition graph may be stored for future use in a database.

Abstract: Method and system to determine a school rank utilizing on-line social network data is described. A school ranking system may be configured to determine a ranking of a school based on career outcomes data which may be Obtained from member profile data stored by an on-line social network system. The school ranking system may examine the member profiles and determine how many of the target school alumni can be considered successful alumni and then calculate a success score for a school as a number of successful alumni divided by the total number of the school's alumni.

Abstract: 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.

Abstract: Method and system to infer seniority level of a social network member is provided. The system includes a transition data extractor, a token extractor, a transition data analyzer, and a storing module. The transition data extractor extracts transition data from member profiles maintained in an online social network system. The token extractor extracts a plurality of tokens from title strings in the transition data. The transition data analyzer analyzes the transition data to generate a weight for each token in the plurality of tokens. A weight for a token in the plurality of tokens indicates a contribution of the token to a seniority rank of a title string that includes the token. The storing module stores the plurality of tokens and their associated weights in a database.

Abstract: 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.

Abstract: Method and system to create a job function ontology may be utilized to derive, from member profiles maintained in an on-line social networking system, job function entities associated with respective sets of professional attributes. An entry in the job function ontology—a job function entity—may include identification of the associated job function, as well as a set of professional attributes that characterize professional skills of a member of the on-line social network system. A label assigned to a job function entity may be viewed as a standardized job title.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Various embodiments relate to an engagement server and a related method of initiating an engagement between an agent device and a user device based on formed and modified engagement rules. In one embodiment, the engagement server can receive one or more third-party analytic reports and use them to form engagement rules that determine when the engagement server initiates an engagement between the agent device and user device. In some embodiments, the engagement server can also receive user interaction data from the user device to modify engagement rules to fit a particular user. In some embodiments, the engagement server can use the third-party analytic reports and/or user interaction data from a plurality of users to form a statistical model. The engagement server may then use the statistical model to form and/or modify the engagement rules.

Abstract: Various embodiments relate to an engagement server and a related method of initiating an engagement between an agent device and a user device based on formed and modified engagement rules. In one embodiment, the engagement server can receive one or more third-party analytic reports and use them to form engagement rules that determine when the engagement server initiates an engagement between the agent device and user device. In some embodiments, the engagement server can also receive user interaction data from the user device to modify engagement rules to fit a particular user. In some embodiments, the engagement server can use the third-party analytic reports and/or user interaction data from a plurality of users to form a statistical model. The engagement server may then use the statistical model to form and/or modify the engagement rules.

Abstract: Various embodiments relate to an engagement server and a related method of initiating an engagement between an agent device and a user device based on formed and modified engagement rules. In one embodiment, the engagement server can receive one or more third-party analytic reports and use them to form engagement rules that determine when the engagement server initiates an engagement between the agent device and user device. In some embodiments, the engagement server can also receive user interaction data from the user device to modify engagement rules to fit a particular user. In some embodiments, the engagement server can use the third-party analytic reports and/or user interaction data from a plurality of users to form a statistical model. The engagement server may then use the statistical model to form and/or modify the engagement rules.