Abstract: Systems and methods are disclosed for parsing resume documents using computer vision and optical character recognition technology in combination with a user feedback interface system to facilitate user feedback to improve the overall processing quality of the resumes that are imported into computer resume processing systems. In at least one embodiment, the system and method prompt a user to upload an input resume document, which is processed with a first parsing pass to generate initial resume data by extracting a plurality of resume text blocks. Further processing identifies an initial set of bounding blocks and to visually displays the initial resume data for user review and feedback to regroup one or more of the initial set of bounding blocks into a regrouped bounding block. Additional processing consolidates into a group text block each of the resume text blocks corresponding to the regrouped one or more of the initial set of bounding blocks.

Abstract: A system and method of generating an ordered search list via a search engine by determining various account balances to determine where a search listing will appear, if at all, in a search results list. If a web site advertiser's account is below a threshold, the search listing associated with the advertiser will not appear in the search list. Various balances may be used. Some of the balances may be closer to real-time balances and others may be more accurate, for example by removing certain event charges that were later determined to be non-chargeable. By using and monitoring the various account balances, the search engine prevents over-delivery of advertising through search result listings and possible over-billing of the advertisers.