Abstract: In various example embodiments, a system and method for career path navigation are presented. A request to identify a set of positions sequentially related to an origin position may be received. The request may be associated with a user of a social network service. Member profiles from among a plurality of member profiles of the social network service may be identified based on the origin position. A plurality of positions may be extracted from the identified member profiles. The set of positions may be determined from among the extracted plurality of positions based on a sequential relationship between the origin position and respective positions of the extracted plurality of positions. At least a portion of the set of positions may be caused to be presented to the user.

Abstract: In various example embodiments, a system and method for career path navigation are presented. A request to identify a set of positions sequentially related to an origin position may be received. The request may be associated with a user of a social network service. Member profiles from among a plurality of member profiles of the social network service may be identified based on the origin position. A plurality of positions may be extracted from the identified member profiles. The set of positions may be determined from among the extracted plurality of positions based on a sequential relationship between the origin position and respective positions of the extracted plurality of positions. At least a portion of the set of positions may be caused to be presented to the user.

Abstract: An inferred seniority system, in one example embodiment, may be configured to determine seniority levels for member profiles maintained by an on-line social network system, based on information stored in the member profiles, and also based on a hierarchical structure termed a seniority pyramid. The system may first determine seniority labels for each of the profiles in a group of member profiles based on information in respective member profiles. The system then determines, for groups of profiles that are given their respective seniority labels, percentages of profiles associated with respective seniority labels. Respective seniority levels for the groups of profiles are determined based on respective percentages of profiles associated with respective seniority labels and the percentage ranges associated with seniority levels that are stored in the seniority pyramid structure.

Abstract: A system maintains member profiles and job postings on a social networking service, a business networking service, or a job posting service. The system displays a member profile to a job recruiter or a job posting to a job candidate. The system receives from the job recruiter an indication of an interest in the job candidate, and receives from the job candidate an indication of an interest in the job posting. After receiving both the interest of the recruiter and the interest of the member, the system transmits a message to the recruiter informing the recruiter of the interest of the job candidate and transmits a message to the job candidate informing the job candidate of the interest of the recruiter.

Abstract: A computer system maintains a member characteristic of a member of an online social networking service, and maintains a job characteristic of a job profile of a job posted to a job posting service. The system further receives an input from the member to modify the member characteristic, compares the modified member characteristic with the job characteristic, and transmits a message to the member based on the comparison of the modified member characteristic with the job characteristic.

Abstract: Automatic machine-learning processes and systems for an online social network are described. During operation of the online social network, a system can automatically collect labeled training events, obtain snapshots of raw entity data associated with subjects from the collected training events, produce training examples by generating features for each training event using the snapshots of entity data and current entity data, and split the training examples into a training set and a test set. Next, the system can use a machine-learning technique to train a set of models and to select the best model based on one or more evaluation metrics using the training set. The system can then evaluate the performance of the best model on the test set. If the performance of the best model satisfies a performance criterion, the system can use the best model to predict responses for the online social network.

Abstract: Automatic machine-learning processes and systems for an online social network are described. During operation of the online social network, a system can automatically collect labeled training events, obtain snapshots of raw entity data associated with subjects from the collected training events, produce training examples by generating features for each training event using the snapshots of entity data and current entity data, and split the training examples into a training set and a test set. Next, the system can use a machine-learning technique to train a set of models and to select the best model based on one or more evaluation metrics using the training set. The system can then evaluate the performance of the best model on the test set. If the performance of the best model satisfies a performance criterion, the system can use the best model to predict responses for the online social network.

Abstract: During a targeting technique, features are extracted. Some features are associated with attributes in profiles of users of a social network (which facilitates interactions among the users), and others are associated with existing types of recommendations previously provided to the users in recommendations or otherwise associated with the users. Then, relevancy scores are determined based on the extracted features. Moreover, one or more of the extracted features are selected as rules for identifying a subset of types of recommendations to target at the users.

Abstract: Absorbent members useful in the containment of body fluids such as urine, that have at least one region containing hydrogel-forming absorbent polymer in a concentration of from about 60 to 100% by weight and providing a gel-continuous fluid transportation zone when in a swollen state. This hydrogel-forming absorbent polymer has: (a) a Saline Flow Conductivity (SFC) value of at least about 30.times.10.sup.-7 cm.sup.3 sec/g; (b) a Performance under Pressure (PUP) capacity value of at least about 23 g/g under a confining pressure of 0.7 psi (5 kPa); and (c) a basis weight of at least about 10 gsm. In addition, the region where this hydrogel-forming absorbent polymer is present has, even when subjected to normal use conditions, sufficient wet integrity such that the gel-continuous zone substantially maintains its ability to acquire and transport body fluids through the gel-continuous zone.

Abstract: Absorbent members useful in the containment of body fluids such as urine, that have at least one region containing hydrogel-forming absorbent polymer in a concentration of from about 60 to 100% by weight and providing a gel-continuous fluid transportation zone when in a swollen state. This hydrogel-forming absorbent polymer has: (a) a Saline Flow Conductivity (SFC) value of at least about 30.times.10.sup.-7 cm.sup.3 sec/g; (b) a Performance under Pressure (PUP) capacity value of at least about 23 g/g under a confining pressure of 0.7 psi (5 kPa); and (c) a basis weight of at least about 10 gsm. In addition, the region where this hydrogel-forming absorbent polymer is present has, even when subjected to normal use conditions, sufficient wet integrity such that the gel-continuous zone substantially maintains its ability to acquire and transport body fluids through the gel-continuous zone.

Abstract: Fibrous absorbent webs having a low density (about 0.01 g/cm.sup.3 to about 0.15 g/cm.sup.3) and comprising at least about 50% hydrophilic microfibers, such as cellulose microfibers, having a diameter of from about 0.01 microns to about 15 microns possess superior absorption properties, especially under typical usage conditions.Hydrophobic microfibers may also be used, provided such fibers are hydrophilized before or after web formation.

Abstract: A new and distinct cultivar of Begonia plant named ‘Doublet Red’, characterized by its somewhat upright, rounded, uniform, and compact plant habit; small dark greenish bronze leaves; freely branching, dense and bushy growth habit; continuous and very freely flowering habit; showy, fully double red-colored flowers that are displayed above and beyond the foliage; and tolerance to pathogens common to Begonias.