1. A method for electronically distributing job listings on the Internet, the method comprising: identifying a pre-existing content web page for injecting at least one job listing; analyzing, by at least one processor, text of the identified pre-existing content web page, the analyzing comprising: parsing the text of the pre-existing content web page, and creating an index of keywords of the pre-existing content web page; and selecting, by the at least one processor, a job listing for injection into the pre-existing content web page, the selecting comprising: comparing the keywords of the pre-existing content web page to one or more keyword tags associated with the at least one job listing, the one or more keyword tags including a recommended keyword tag based on at least one of resume content that receives positive feedback from an employer associated with the at least one job listing, or employer feedback, calculating, based on a number of matches between the keywords of the content web page and the keyword tags of the at least one job listing, a relevancy factor between subject matter of the pre-existing content web page and the at least one job listing, determining, when the relevancy factor is higher than a predetermined threshold, that the at least one job listing is suitable for injection into the pre-existing content web page, and injecting the at least one job listing into the pre-existing content web page based on a result of the determination.
1. A method for electronically distributing job listings on the Internet, the method comprising: identifying a pre-existing content web page for injecting at least one job listing; analyzing, by at least one processor, text of the identified pre-existing content web page, the analyzing comprising: parsing the text of the pre-existing content web page, and creating an index of keywords of the pre-existing content web page; and selecting, by the at least one processor, a job listing for injection into the pre-existing content web page, the selecting comprising: comparing the keywords of the pre-existing content web page to one or more keyword tags associated with the at least one job listing, the one or more keyword tags including a recommended keyword tag based on at least one of resume content that receives positive feedback from an employer associated with the at least one job listing, or employer feedback, calculating, based on a number of matches between the keywords of the content web page and the keyword tags of the at least one job listing, a relevancy factor between subject matter of the pre-existing content web page and the at least one job listing, determining, when the relevancy factor is higher than a predetermined threshold, that the at least one job listing is suitable for injection into the pre-existing content web page, and injecting the at least one job listing into the pre-existing content web page based on a result of the determination. 2. The method of claim 1 , further comprising selecting a job listing for injection into the content web page, based on user profile information of a user requesting the content web page.