Abstract: One embodiment provides a method, including: receiving a ranked listing of a plurality of candidates; within a first one of a plurality of collaboration rounds: (i) aggregating the ranked listings into an overall listing, (ii) presenting the overall listing to a first one of the job candidate matching agents, and (iii) receiving at least one modification to the overall listing from the agents; (iv) presenting a version of the overall listing to each of the remaining agents; and (v) receiving any modifications from the agents until all of the agents have had a turn; conducting others of the plurality of collaboration rounds: (i) presenting a version of the overall listing and (ii) receiving any modifications from the agents; (iii) presenting a version of the overall listing to each of the remaining agents, and (iv) receiving any modifications from the agents; and providing the final version to a user.

Abstract: One embodiment provides a computer implemented method, including: receiving information corresponding to a customer of a seller, wherein the information is related to credit information of the customer; generating a credit attribute for the customer with respect to the seller, wherein the generating includes utilizing a plurality of artificial intelligence agents that each analyze at least a subset of the information to each generate an agent version of the credit attribute; and recommending a deferral of at least a portion of a pending invoice of the seller for the customer, wherein a value of the deferral is based upon the credit attribute.

Abstract: In predictive natural disaster response, a server determines an affected location predicted to be affected by a natural disaster and determines whether the type of natural disaster requires relocation of an animal population at the affected location. When relocation is required, using machine learning models, the server generates a rehabilitation needs prediction for the relocation, determines an optimal location for the relocation from candidate locations, and generates a relocation plan to relocate the animal population from the affected location to the optimal location. When relocation is not required, using the machine learning models, the server generates a demands prediction for products and services at the affected location, generates a supply prediction for the products and the services at the affect location, and generates a supply plan using the demands and supply predictions.

Abstract: One embodiment provides a computer implemented method, including: receiving information corresponding to a customer of a seller, wherein the information is related to credit information of the customer; generating a credit attribute for the customer with respect to the seller, wherein the generating includes utilizing a plurality of artificial intelligence agents that each analyze at least a subset of the information to each generate an agent version of the credit attribute; and recommending a deferral of at least a portion of a pending invoice of the seller for the customer, wherein a value of the deferral is based upon the credit attribute.

Abstract: One embodiment provides a computer implemented method, including: receiving billing information related to a billing contract of a customer of a seller, wherein the billing contract identifies amounts of invoices and an invoice frequency; identifying, utilizing one or more artificial intelligence agents, one or more risk factors associated with generation of a pending invoice based upon the billing information; and recommending, utilizing the one or more artificial intelligence agents, a generation date for the pending invoice based upon the one or more risk factors, wherein the recommending includes selecting a generation date to facilitate timely payment of the pending invoice by the customer.

Abstract: Disclosed is a method of managing a network of field-specific entity records. The method comprises accessing the network of field-specific entity records comprising at least one pair of field-specific entity records within at least one field segment, wherein the at least one pair of field-specific entity records is associated with relations therebetween, and wherein the at least one pair of field-specific entity records comprises a first pair of field-specific entity records and at least one second pair of field-specific entity records; determining a weightage score of each of the relations between the at least one pair of field-specific entity records; determining an importance score of each field-specific entity record; determining a change in the importance score, and/or the weightage score of a relation between field-specific entity records of the at least one second pair of field-specific entity records; and updating the network of field-specific entity records.

Abstract: Disclosed is a method and a system for extracting entity information from target data. The method comprises: providing the target data; refining the target data to obtain at least one base entity information having a plurality of base entity units using an algorithm, wherein the algorithm is based on a predefined syntax; generating a plurality of strings for each of the base entity information, wherein the plurality of strings comprises at least one base entity unit among the plurality of base entity units; sorting the plurality of strings in a decreasing order of length of the plurality of strings; identifying an entity type of the plurality of strings, based on an ontology, by processing the plurality of strings sequentially; assigning labels to the plurality of strings based on the entity type; and mapping the labelled plurality of strings to a predefined signature to obtain the entity information.

Abstract: Methods, systems, and computer program products for designing conflict minimizing outreach strategies are provided herein. A computer-implemented method includes obtaining data from a job matching service corresponding to jobs listed on the job matching service and candidates; generating job clusters for the jobs based on clustering criteria; identifying, for each respective one of the job clusters, a set of candidates from among the candidates to reduce inter-cluster conflict; selecting, for each of the jobs in a given one of the job clusters, individual candidates from among the set of candidates corresponding to the given job cluster to reduce intra-cluster conflict with respect to the plurality of candidates; and outputting one or more optimized lists of the candidates for the jobs based on the identifying and the selecting.

Abstract: A contextual zoom control method, system, and computer program product, includes in a single individual capturing mode, performing a camera function to assist the user in performing an image capturing action on an identity that is paired with a highest ranked individual on a ranked list within a set of key individuals attending an event, where the camera function includes at least one of a zoom function and a focus function and where the set of key individuals attending the event are determined by any of data mining a context of the event, a search engine, a social media source, and using natural language processing on a published program of the event.

Abstract: In predictive natural disaster response, a server determines an affected location predicted to be affected by a natural disaster and determines whether the type of natural disaster requires relocation of an animal population at the affected location. When relocation is required, using machine learning models, the server generates a rehabilitation needs prediction for the relocation, determines an optimal location for the relocation from candidate locations, and generates a relocation plan to relocate the animal population from the affected location to the optimal location. When relocation is not required, using the machine learning models, the server generates a demands prediction for products and services at the affected location, generates a supply prediction for the products and the services at the affect location, and generates a supply plan using the demands and supply predictions.

Abstract: A resume remarketing method, system, and computer program product, including creating a remarketing cookie based on an interest factor of a first user in a first type of resume, matching the first user with a second user based on a similarity between a role of the first and second users, and transferring the remarketing cookie from the first user to the second user to remarket the first type of resume to the second user.

Abstract: Disclosed is a method and a system for identifying key terms in a digital document. The method comprises providing the digital document and analysing the digital document to identify key terms in the digital document. The digital document includes a first text in a first language. Furthermore, analysing the digital document comprises translating the first text in the first language to obtain a second text in a second language, translating the first text in the first language to obtain a third text in a third language, translating the obtained second text in the second language to obtain a fourth text in the third language, comparing at least one pair of first text, second text, third text and fourth text to identify at least one set of similar text between the compared at least one pair, and processing the set of similar text to obtain key terms in the digital document.

Abstract: One embodiment provides a method, including: receiving a ranked listing of a plurality of candidates; within a first one of a plurality of collaboration rounds: (i) aggregating the ranked listings into an overall listing, (ii) presenting the overall listing to a first one of the job candidate matching agents, and (iii) receiving at least one modification to the overall listing from the agents; (iv) presenting a version of the overall listing to each of the remaining agents; and (v) receiving any modifications from the agents until all of the agents have had a turn; conducting others of the plurality of collaboration rounds: (i) presenting a version of the overall listing and (ii) receiving any modifications from the agents; (iii) presenting a version of the overall listing to each of the remaining agents, and (iv) receiving any modifications from the agents; and providing the final version to a user.

Abstract: Methods, systems and computer program products for generating virtual reality (VR)-based interactive audience simulations are provided herein. A computer-implemented method includes determining one or more situational and location characteristics for a given performance by a user, generating a VR-based simulated audience for the given performance based at least in part on the determined situational and location characteristics, presenting the VR-based simulated audience to a user during the given performance utilizing a VR headset, utilizing one or more sensors to measure one or more aspects of the given performance before the VR-based simulated audience, and generating real-time feedback adjusting the VR-based simulated audience presented to the user utilizing the VR headset based at least in part on the measured aspects of the given performance.

Abstract: A computer-implemented dynamic road stretch dividing method, the method comprising: determining a current lane distribution of partitions of a road stretch; calculating a new lane distribution of the road stretch to ameliorate traffic based on a pragmatic factor; changing an alignment of the partitions of the current lane distribution to obtain the new lane distribution; and updating the pragmatic factor based on at least one of an external policy and a constraint input by a user.

Abstract: A resume rearrangement method, system, and computer program product, includes linking content segments of a resume including key terms with each other based on a pairwise similarity score between the key terms of the content segments, identifying an interest segment within the resume that draws interest from a current reader, and displaying a summary for the current reader including the interest segment that has drawn the interest of the current reader and a reference to at least one other segment that is linked with the interest segment.

Abstract: Methods, systems and computer program products for generating virtual reality (VR)-based interactive audience simulations are provided herein. A computer-implemented method includes determining one or more situational and location characteristics for a given performance by a user, generating a VR-based simulated audience for the given performance based at least in part on the determined situational and location characteristics, presenting the VR-based simulated audience to a user during the given performance utilizing a VR headset, utilizing one or more sensors to measure one or more aspects of the given performance before the VR-based simulated audience, and generating real-time feedback adjusting the VR-based simulated audience presented to the user utilizing the VR headset based at least in part on the measured aspects of the given performance.

Abstract: A dynamic road stretch dividing method, system, and computer program product, include determining a current lane distribution of partitions of a road stretch, calculating a new lane distribution of the road stretch to ameliorate traffic based on a pragmatic factor, and changing an alignment of the partitions of the current lane distribution to obtain the new lane distribution.

Abstract: A contextual zoom control method, system, and computer program product, includes in a single individual capturing mode, performing a camera function to assist the user in performing an image capturing action on an identity that is paired with a highest ranked individual on a ranked list within a set of key individuals attending an event, where the camera function includes at least one of a zoom function and a focus function and where the set of key individuals attending the event are determined by any of data mining a context of the event, a search engine, a social media source, and using natural language processing on a published program of the event.

Abstract: A contextual zoom control method, system, and computer program product, includes detecting faces in an area of interest when a user is performing an image capturing action, extracting a facial image for each of a set of key individuals attending an event where the user is performing the image capturing action, creating a ranked list of the set of key individuals according to a predetermined parameter of each key individual, pairing each detected face with a matching extracted facial image to label an identity of each key individual in the area of interest, and in a single individual capturing mode, performing a camera function to assist the user in performing the image capturing action on the identity that is paired with a highest ranked individual on the ranked list within the area of interest.