![]() Event arrow 105 represents a given seeker, S visiting the matching site (not shown) at or near low points in the general and specific business cycles, 110 and 120, where the seeker S presents him or herself to the site as having qualifications Q as looking for a job defined by expression J in a business category defined by expression K and located in one or more job locations defined by expression L. The purpose of these historic plots 110, 120 and their respective extensions 112, 122 into the future (beyond time point 106) is for explaining how a job seeker may come to initially visit a given job-matching internet site at an inopportune time such as 106 (too soon before the business cycles recover from respective downward turns). Graph 100 also includes a second plot 120 of past business activity in a specific business sector versus time 101. The Y axis may represent any of a number of metric indicators for the health of a business cycle including the product of price times volume of demand from customers for a general basket of goods and/or services or the same for a given class of goods or services. 1 provides a graph 100 including a first plot 110 of past general business activity versus time 101. A network-accessible job match node in accordance with the disclosure comprises: (a) an economically-directed history database that is structured to receive query parameters from a user's (e.g., job seeker's) search query and to responsively selectively retrieve economically-directed historic information (e.g., matched job trends) corresponding to the received query parameters, said retrieved information being useful for generating a prediction of future economic activity (e.g., matched future job trends) corresponding to the received query parameters (b) a futures predicting engine that is coupled to the history database and configured to receive the retrieved economically-directed historic information and to generate therefrom a prediction of future economic behavior (e.g., expected numbers of matched future jobs) and (c) a report generator that is coupled to the futures predicting engine and structured to automatically generate query result signals which indicate one or more future time points at which increased economic activity (e.g., more matching jobs) is expected corresponding to the economically-directed search query. Thus, a job seeker who was disappointed with initial results provided by the given node, perhaps because the market was bad at the time of a first query, is nonetheless encouraged to re-visit and/or otherwise re-use the node at a more opportune time rather than being allowed to leave the node with the impression that this node does not and will never meet the seeker's needs. In one variation, the push type advisement includes job search results automatically run for that job seeker at the more opportune time based on an early job search query submitted by the same seeker at an earlier, but less opportune time. The advisements identify specific times when it is expected that the job seeker's database query submission to that node will provide results that are more in tune with the seeker's personal goals. In one embodiment, emails or other push type advisements are automatically sent to consenting job seekers as the time draws near to remind them to revisit the job matching node (e.g., internet site) at the more opportune times when more matching jobs are expected to be available at that node for their given skills. ![]() ![]() A prediction engine generates the future casting reports for the job seekers and job offerors. ![]() In one embodiment, the encouragement to job offerors to submit job offers includes providing the job offerors with future casting reports that indicate when and what kinds of job candidates are expected to be in demand but in short or ample supply in the near future, where those candidates match the job offeror's specific business requirements. In one embodiment, the encouragement to job seekers includes the step of automatically providing job seekers with a future casting report that indicates when, where and/or what kinds of jobs are expected to be available in the near future, where the predicted jobs better match the seeker's particular qualifications and desires. Similarly, the method may encourage job offerors to submit requests for qualified job candidates to the node at times preceding an anticipated boom so that the offerors do not find themselves at the wrong side of the business cycle, after most good job candidates have been snatched up by competitors. A method in accordance with the present disclosure of invention encourages job seekers to revisit a given job-match node at more opportune times (or to approve being automatically alerted by the job-match node at such more opportune times) when more jobs matching their qualifications and desires are likely to be available.
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