Semi-supervised identity aggregation of profiles using statistical methods
US-9654594-B2 · May 16, 2017 · US
US10198565B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10198565-B2 |
| Application number | US-201615082482-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 28, 2016 |
| Priority date | Mar 31, 2015 |
| Publication date | Feb 5, 2019 |
| Grant date | Feb 5, 2019 |
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This disclosure relates generally to screening candidate profile, and more particularly to system and method for screening candidate profile. In one embodiment, the method includes dividing a candidate profile into a plurality of subset-profiles having subset-profile information of attributes of the candidate profile. The subset-profile information is mapped with target-profile information of a plurality of targets to identify a set of targets capable of screening the subset-profile information. Queries are provisioned to the set of targets for performing screening, and responses to queries are received from therefrom. An aggregated weightage associated with the responses is computed based at least on an extent of matching of the responses and a confidence score associated with each target of the set of targets. The aggregated weightage is compared with a threshold value of weightage to identify the subset-profile information as one of a valid information and an invalid information.
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What is claimed is: 1. A processor-implemented method for candidate profile screening comprising: receiving, via one or more hardware processors, a request for screening of a candidate profile associated with a candidate, the candidate profile comprising a plurality of candidate profile attributes; dividing, via the one or more hardware processors, the candidate profile into a plurality of subset-profiles, each subset-profile comprising subset-profile information associated with one or more candidate profile attributes of the plurality of candidate profile attributes, wherein a candidate profile attribute of the plurality of candidate profile attributes comprises a plurality of verification parameters, and wherein a verification parameter of the plurality of verification parameters is associated with an importance rating and a sensitivity level, wherein the importance rating of the verification parameter indicative of relevance of the verification parameter to determine if the verification parameter is mandatory for verification of the subset-profile information, and wherein the sensitivity level associated with the verification parameter indicative of sensitivity of subset-profile information associated with the verification parameter; and validating, via the one or more hardware processors, the subset-profile information of one or more subset-profiles of the plurality of subset-profiles, wherein validating the sub-set profile information of a subset-profile comprises: mapping the subset-profile information associated with the plurality of subset-profiles with target-profile information of a plurality of targets to identify a set of targets from amongst the plurality of targets, a target of the set of targets capable of screening the subset-profile information of the one or more subset-profiles, the target-profile information comprising at least one of real-time information and contextual information of the plurality of targets, wherein a target of the plurality of targets comprises one of a hand-held device and a fixed device, and wherein the contextual information of the target being the hand-held device comprises attributes of registered user of the hand-held device, and wherein the contextual information of the target being the fixed device comprises device information of the fixed device; provisioning one or more queries to the set of targets to enable the set of targets to perform screening of the subset-profile information; receiving one or more responses to the one or more queries from the set of targets, wherein the one or more responses facilitates in validating the subset-profile information of the candidate profile; computing an aggregated weightage associated with the one or more responses received from the set of targets, the aggregated weightage computed based at least on an extent of matching of the one or more responses with the one or more candidate profile attributes of the subset-profile information and a confidence score associated with each target of the set of targets; and comparing the aggregated weightage with a threshold value of the aggregated weightage to identify the subset-profile information as one of a valid information and an invalid information. 2. The method of claim 1 , further comprising receiving at least one trigger notification prior to provisioning the one or more queries to the set of targets, the at least one trigger notification notifying availability of the subset-profile information associated with the subset-profile, the at least one trigger notification generated based on at least one of the plurality of candidate profile attributes and an attribute-related activity of the candidate. 3. The method of claim 1 , wherein the attributes of the registered user of the hand-held device comprises static target attributes, dynamic target attributes, target verification parameters, and target constraints, and wherein the target constraints comprises multi-level constraints, the multi-level constraints being selectively applied to the plurality of targets for identifying the set of targets. 4. The method of claim 3 , wherein identifying the set of targets comprises: associating the contextual information of the plurality of targets with the plurality of verification parameters of the subset-profile information based on a plurality of mapping rules, identifying a plurality of lists of targets from the plurality of targets based on associating, each list of the plurality of lists comprising one or more targets capable of screening one or more verification parameters of the plurality of verification parameters; computing degree of acquaintances between each target of the plurality of lists of targets based on a frequency of occurrence of said targets in the plurality of lists; and selecting the set of targets from the plurality of lists of targets based on a comparison of the degree of acquaintances with a plurality of threshold values of the degree of acquaintance, the plurality of threshold values defining a range of the degree of acquaintance, the plurality of threshold values comprising at least an upper level of the degree of acquaintance and a lower level of the degree of acquaintance. 5. The method of claim 1 , wherein the confidence score associated with a target is indicative of a probability of accuracy of responses provided by the target, and wherein the confidence score is computed based on at least one of past history of responses provided by the target, promptness in providing the responses, correctness of the responses, and difficulty level of previous queries assigned to the target. 6. The method of claim 1 , wherein computing the aggregated weightage comprises: assigning individual weightages to each of the one or more responses received from the each target of the set of targets based at least on an extent of matching of the one or more responses with the one or more attributes of the subset-profile information and the confidence score associated with each target; and computing an average mean value of the individual weightages to obtain the aggregated weightage. 7. The method of claim 1 , wherein identifying the subset-profile information as the invalid information comprises detecting an anomaly in the subset-profile information on determination of the aggregated weightage being less than the threshold value of the aggregate weightage, and wherein identifying the subset-profile information as the valid information comprises determining the aggregated weightage as greater than or equal to the threshold value of the aggregate weightage. 8. A processor-implemented system for candidate profile screening, the system comprising: at least one memory storing instructions; and one or more hardware processors coupled to said at least one memory, wherein the one or more hardware processors configured by said instructions to: receive a request for screening of a candidate profile associated with a candidate, the candidate profile comprising a plurality of candidate profile attributes; divide the candidate profile into a plurality of subset-profiles, each subset-profile comprising subset-profile information associated with one or more candidate profile attributes of the plurality of candidate profile attributes, wherein a candidate profile attribute of the plurality of candidate profile attributes comprises a plurality of verification parameters, and wherein a verification parameter of the plurality of verification parameters is associated with an importance rating and a sensitivity level, wherein the importance rating of the verification parameter indicative of relevance of the verification parameter to determine if the verification parameter is mandatory for verification of the subset-profile information, and wher
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