Abstract: A machine-implemented method encourages a job seeker to revisit a job search site by (a) automatically submitting the seeker's search query to a job history database to selectively retrieve responsive job history information corresponding to the seeker's search query; (b) automatically forwarding the selectively retrieved job history information for a prediction of future job prospects; and (c) automatically generating from the future job prospects results which indicate future time points at which more or better job search results are expected to be available.

Abstract: An internet-accessible job match website provides job seekers with predictions of time points at which to better visit the website so as to receive larger numbers of and/or better matching ones of job leads corresponding to submitted job search queries. The job match website optionally pushes alert advisements to the seeker at opportune times when larger numbers of and/or better matching ones of job leads are available in response to the seeker's earlier run query.

Abstract: A method of accumulating, processing, and classifying online job listings for searches by users. Job listings are automatically, and more effectively, categorized, allowing users to more quickly and easily search job listings. Also provided are expanded tools for more powerful job searching. First, online job listings are automatically accumulated and stored in a job database, such as by web crawlers or robots. The accumulated job listings are then “normalized,” i.e., additional metadata are appended to the stored job listings, which assists in both classifying jobs and in subsequent user searches. These normalized, or augmented, job listings are then classified into job categories by an automated classifier. Assigning jobs to categories in this manner allows for greater search functionality. For instance, users can search by job category, and find additional search terms via other jobs in the same category.

Abstract: A user is provided with the capability to view only those segments of TV broadcast programs and/or pre-recorded digital programs that are identified by the user (or other persons, e.g., parents) as acceptable. Preferences for the types of material that is desired for viewing are provided. The provider analyzes a selected program and creates a user specific segmentation file that, when played along with the recorded program, causes the program to automatically skip specific types of material (e.g., commercials, violence, pornography, etc.) and/or jumps to specific material desirable without the user having to intercede during the viewing. The segmentation file is distributed to the user and the user provides a fee to the provider for making and distributing this customized segmentation file.