Abstract: A method of preparing a printed article includes: applying an ink to a substrate and overlaying a substantially transparent lamination layer over the ink to envelope at least a portion of the substrate. The ink includes a polyurethane copolymer-based binder, wherein the polyurethane copolymer includes a block copolymer comprising the reaction product of a diisocyanate, a first polyol compound, a second polyol compound different from the first polyol compound, and a chain extending agent.

Abstract: Techniques for dynamically altering weights to re-weight attributes of an ordering model based on feedback in a streaming environment are described. In an embodiment, a system accesses, based on a candidate stream definition comprising a role including a title, one or more stream-related information sources, and extracts attributes from the sources. Additionally, the system inputs the attributes to a combined ordering model that is trained by a machine learning algorithm to output ordering scores for member profiles of an online system (e.g., hosting a social networking service). The combined ordering model includes weights assigned to the attributes. Moreover, the system orders, based on the ordering scores, the profiles. Furthermore, the system presents, on a display, of top-ordered profiles. Then, the system accesses feedback regarding the top-ordered profiles and dynamically trains the weights assigned to each of the attributes to alter the weights assigned to the attributes based on the feedback.

Abstract: Systems and methods for analyzing pipelined data are disclosed. In some examples, a server receives a transaction description requesting candidates for a given transaction. The server accesses first records representing parties that fully completed the given transaction and second records representing parties that were in a pipeline for completing the given transaction but did not fully complete the given transaction. The first records and the second records are stored at a data repository. The server generates a model for predicting whether an identified record represents a party likely to complete the given transaction. The model is generated based on at least the first records and the second records. The server orders a list of third records representing parties likely to complete the given transaction. The server provides an output representing the third records.

Abstract: A method of preparing a retort packaging article includes: includes applying an ink to an outer surface of a sealable packaging and overlaying a substantially transparent lamination layer over the ink to envelope at least a portion of the sealable packaging. The ink includes a binder that includes a polyurethane resin that contains an elastomer which is a reaction product of a polyol and polyalkylene glycol with an isocyanate. The elastomer may be chain extended with a diamine or a diol.

Abstract: Techniques for dynamically altering weights to re-weight attributes of an ordering model based on feedback in a streaming environment are described. In an embodiment, a system accesses, based on a candidate stream definition comprising a role including a title, one or more stream-related information sources, and extracts attributes from the sources. Additionally, the system inputs the attributes to a combined ordering model that is trained by a machine learning algorithm to output ordering scores for member profiles of an online system (e.g., hosting a social networking service). The combined ordering model includes weights assigned to the attributes. Moreover, the system orders, based on the ordering scores, the profiles. Furthermore, the system presents, on a display, of top-ordered profiles. Then, the system accesses feedback regarding the top-ordered profiles and dynamically trains the weights assigned to each of the attributes to alter the weights assigned to the attributes based on the feedback.

Abstract: An example system generates a search query for candidates, the search query comprising a set of parameters corresponding to attributes extracted from one or more stream-related information sources, each parameter in the set having a weight. Additionally, the system executes the query on member profiles of members of an online system to return search results based on the parameters and the weights of the parameters. Moreover, the system causes presentation of at least one search result from the search results, the at least one search result, being associated with at least one of the attributes. Furthermore, the system accesses feedback to the at least one search result that indicates a level of interest in the search result. Then, the system adjusts the parameters based on the feedback. Next, the system causes presentation of an updated search result, the updated search result being generated based on the adjusted set of parameters.

Abstract: In an embodiment, a system accesses a candidate stream definition comprising a hiring organization and a role. Additionally, the system accesses, based on the candidate stream definition, one or more stream-related information sources, the stream-related information sources including member profiles of members of an online system. Moreover, the system causes presentation, on a display device, of one or more of the member profiles, the presentation including, for each of the one or more of the member profiles, a user interface element selectable to send a message to a member of the online system. Furthermore, in response to receiving a selection of the user interface element for a member of the one or more of the member profiles, the system populates a message template based on features of the hiring organization and the role. The system also sends a message including the message template to a member of the member profile.

Abstract: Techniques for suggesting roles for hiring searches are described An example system comprises a processor, a storage device, and a memory device holding an instruction set executable on the processor to cause the system to perform operations. The system determines an organization employing a user, and identifies, based on the organization, suggested roles to hire for. Bach suggested role includes a tide. Additionally, the system causes presentation of at least some of the suggested roles, and accesses, based on a selection of one of the presented suggested roles, member profiles of members of an online system. Moreover, the system extracts attributes from the member profiles, and generates a search query based on the extracted attributes. Furthermore, the system executes the query on the member profiles in the online system to return search results. Then, the system causes presentation, on a display device, of at least some of the search results.

Abstract: Techniques for calculating probability of hire scores in a streaming environment are described. In an embodiment, a system accesses a candidate stream definition comprising a hiring organization and a role. Additionally, the system accesses, based on the candidate stream definition, one or more stream-related information sources, and extracts attributes from the stream-related information sources. Moreover, the system identifies similar organizations based on the attributes, the role, and features of the hiring organization. Then, the system accesses historical data regarding hiring patterns at the similar organizations for the role. The system calculates, based on the historical data and interactions by the hiring organization with member profiles of an online system (e.g., hosting a social networking service), a probability of hire for the role. Next, the system presents the probability of hire.

Abstract: Techniques for tracking profile completeness among members of an online social networking system are described. According to various embodiments, profile completion score criteria information identifies a profile completion score weight value associated with each of a plurality of member profile fields available in member profiles of an online social networking service. A specific member profile associated with a specific member of the online social networking service is accessed, and one or more of the plurality of member profile fields that have been completed in the specific member profile are identified. Thereafter, the profile completion score weight values associated with the member profile fields that have been completed in the specific member profile are determined, based on the profile completion score criteria information. Based on the determined profile completion score weight values, a profile completion score is then generated for the specific member profile.

Abstract: Techniques for optimizing a guided edit process for editing a member profile page are described. According to various embodiments, incomplete member profile fields in a member profile associated with member of an online social networking service are identified. Profile completion score weight values associated with the incomplete member profile fields in the member profile are then determined. Thereafter, the incomplete member profile fields in the member profile are ranked, based on the profile completion score weight values associated with each of the incomplete member profile fields. A list of one or more of the highest ranked incomplete member profile fields are then displayed, together with a prompt recommending the member to complete the identified incomplete member profile fields.

Abstract: Disclosed in some examples is a method including receiving a plurality of transaction records, each of the transaction records including data about a particular transaction engaged in by a member of a social networking service and including a geographic location and a timestamp of the particular transaction; scoring each of the plurality of transaction records based upon the recency of the transaction; clustering the plurality of transaction records into a plurality of clusters, each cluster including transaction records which contain similar geographic locations; creating an aggregate score for each particular one of the plurality of clusters based upon a sum total of the scores calculated for each transaction record clustered into the particular cluster; and creating a probability distribution based upon the scores for the plurality of clusters, the probability distribution indicating a probability that the member was in each of the plurality of locations represented by the clusters.

Abstract: Techniques for tracking profile completeness among members of an online social networking system are described. According to various embodiments, profile completion score criteria information identifies a profile completion score weight value associated with each of a plurality of member profile fields available in member profiles of an online social networking service. A specific member profile associated with a specific member of the online social networking service is accessed, and one or more of the plurality of member profile fields that have been completed in the specific member profile are identified. Thereafter, the profile completion score weight values associated with the member profile fields that have been completed in the specific member profile are determined, based on the profile completion score criteria information. Based on the determined profile completion score weight values, a profile completion score is then generated for the specific member profile.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are directed to a Peer Driven Editing Engine (hereinafter “PDE Engine”) that updates a profile of a target member account in a professional social network service (hereinafter “social network”) based on information provided from other member accounts. The PDE Engine identifies a particular type of profile attribute of a member account in a social network. The PDE Engine determines a target member account qualifies for an update with the particular type of profile attribute. The PDE Engine generates a prompt based on the particular type of profile attribute. The PDE Engine generates profile update content based on the target member account's response to the prompt. The PDE Engine includes the particular type of profile attribute in the target member account according to the profile update content.

Abstract: Techniques for optimizing a guided edit process for editing a member profile page are described. According to various embodiments, incomplete member profile fields in a member profile associated with member of an online social networking service are identified. Profile completion score weight values associated with the incomplete member profile fields in the member profile are then determined. Thereafter, the incomplete member profile fields in the member profile are ranked, based on the profile completion score weight values associated with each of the incomplete member profile fields. A list of one or more of the highest ranked incomplete member profile fields are then displayed, together with a prompt recommending the member to complete the identified incomplete member profile fields.

Abstract: Disclosed in some examples is a method including receiving a plurality of transaction records, each of the transaction records including data about a particular transaction engaged in by a member of a social networking service and including a geographic location and a timestamp of the particular transaction; scoring each of the plurality of transaction records based upon the recency of the transaction; clustering the plurality of transaction records into a plurality of clusters, each cluster including transaction records which contain similar geographic locations; creating an aggregate score for each particular one of the plurality of clusters based upon a sum total of the scores calculated for each transaction record clustered into the particular cluster; and creating a probability distribution based upon the scores for the plurality of clusters, the probability distribution indicating a probability that the member was in each of the plurality of locations represented by the clusters.