Requirement feasibility scoring based on data object and social network website
US-2015302491-A1 · Oct 22, 2015 · US
US9305287B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9305287-B2 |
| Application number | US-201514755770-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 30, 2015 |
| Priority date | Jan 25, 2010 |
| Publication date | Apr 5, 2016 |
| Grant date | Apr 5, 2016 |
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Methods, systems and computer program products are provided for generating a feasibility score for a job search and for generating a suggestion for enhancing the score. In one method, one or more computing devices receive, over a network, a data object that is associated with a user who is engaged in a search for employment. The data object includes a résumé of the user and a requirement that is associated with the search. The computers calculate, based on the data object, a score that indicates a likelihood of receiving an offer for an employment position that satisfies the requirement. The computers generate a suggestion that identifies how the score may be increased. The computers send the suggestion over the network to a computing device of the user.
Opening claim text (preview).
What is claimed is: 1. A method comprising: receiving, over a network, a data object that is associated with a user who is engaged in a search for employment, wherein the data object includes a résumé of the user and a requirement that is associated with the search; calculating, based on the data object, a score that indicates a likelihood of receiving an offer for an employment position that satisfies the requirement, wherein the score includes an estimated duration until the user receives the offer; generating a suggestion that identifies how the score may be increased; and sending the suggestion over the network to a computing device of the user; wherein the method is performed by one or more computing devices. 2. The method of claim 1 , further comprising sending the score over the network to the computing device. 3. The method of claim 2 wherein the suggestion includes an estimated reduction of the estimated duration if the suggestion is fulfilled. 4. The method of claim 1 wherein the suggestion includes an estimated increase of the score if the suggestion is fulfilled. 5. The method of claim 1 , further comprising comparing the data object with a second data object of a second user, wherein the suggestion identifies a modification that, if made, would result in a higher score than a score of the second user. 6. The method of claim 1 wherein the suggestion comprises an attribute of a second user. 7. The method of claim 6 wherein the attribute of the second user comprises an identification of a professional improvement course that the second user has taken. 8. The method of claim 1 wherein the suggestion identifies a professional improvement course. 9. The method of claim 1 wherein calculating or generating is based on data obtained from a user profile of a social networking website. 10. The method of claim 9 wherein the data obtained comprises at least one of: a professional reference, a skill, or a career objective. 11. The method of claim 1 , wherein calculating or generating comprises calculating or generating based on an amount of page views of a webpage. 12. The method of claim 1 wherein: the requirement comprises a locale and a desired employment position; and calculating or generating comprises calculating or generating based on employment market conditions in the locale of the desired employment position. 13. The method of claim 12 wherein: the requirement comprises a desired locale that indicates where the user desires to work; the suggestion identifies an alternate locale for the desired employment position, wherein the alternate locale is different than the desired locale. 14. The method of claim 1 wherein the suggestion identifies a skill. 15. The method of claim 1 wherein calculating or generating comprises calculating or generating based on a ranking of an academic institution. 16. The method of claim 1 wherein calculating or generating comprises calculating or generating based on a self-rating by the user. 17. The method of claim 1 wherein: the résumé comprises a plurality of parameters; and the method further comprises determining a parameter score for each of the plurality of parameters; the parameter score is based on a respective parameter weight; wherein calculating comprises calculating based on the parameter score of each of the plurality of parameters. 18. The method of claim 1 wherein the requirement comprises at least one of: one or more preferred employers, a salary range, or an amount of work hours desired. 19. A system comprising: one or more processors; one or more storage media storing instructions which, when executed by the one or more processors, cause: receiving, over a network, a data object that is associated with a user who is engaged in a search for employment, wherein the data object includes a résumé of the user and a requirement that is associated with the search; calculating, based on the data object, a score that indicates a likelihood of receiving an offer for an employment position that satisfies the requirement, wherein the score includes an estimated duration until the user receives the offer; generating a suggestion that identifies how the score may be increased; and sending the suggestion over the network to a computing device of the user. 20. One or more computer readable media comprising instructions that, when executed by one or more processors, cause: receiving, over a network, a data object that is associated with a user who is engaged in a search for employment, wherein the data object includes a résumé of the user and a requirement that is associated with the search; calculating, based on the data object, a score that indicates a likelihood of receiving an offer for an employment position that satisfies the requirement, wherein the score includes an estimated duration until the user receives the offer; generating a suggestion that identifies how the score may be increased; and sending the suggestion over the network to a computing device of the user.
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