PeopleTicker's proprietary technology uses a combination of advanced conceptual search techniques and probabilistic latent semantic indexing (PLSI). As a result PeopleTicker is the only job search and reporting tool available today that provides accurate, dynamic data based on your unique job description, regardless of skill set or industry.
Conceptual search: Two people use the same term to describe a concept less than 20% of the time -- a problem known as "term mismatch." (Furnas, 1987). Concept searches solve this mismatch problem by returning results that relate to the same concept as the query word, rather than the specific word used. Probabilistic latent semantic indexing (PLSI): PLSI is a statistical technique used for the analysis of two key types of mode and occurrence data. It has applications in information retrieval and filtering, natural language processing, machine learning from text, and related areas. It is generally regarded as a more principled statistical approach than standard latent semantic analysis.
Conceptual search: Two people use the same term to describe a concept less than 20% of the time -- a problem known as "term mismatch." (Furnas, 1987). Concept searches solve this mismatch problem by returning results that relate to the same concept as the query word, rather than the specific word used.
Probabilistic latent semantic indexing (PLSI): PLSI is a statistical technique used for the analysis of two key types of mode and occurrence data. It has applications in information retrieval and filtering, natural language processing, machine learning from text, and related areas. It is generally regarded as a more principled statistical approach than standard latent semantic analysis.
Job Description vs. Title PeopleTicker technology is based on granular job descriptions and Pay rates, not just job titles -- so fine points are taken into consideration. Unlike current technologies, we don't group together similar titles with less than 10% pay differences, or simply divide annual salaries by 40 hours to get an accurate hourly rate for contractors. PeopleTicker reports back real job description and employment data, gathered from actual employment engagements.
Why the "one size fits all" approach doesn't work Survey-based compensation tools attempt to create universal or "one size fits all" models for job titles, job descriptions, and experience levels. This allows them to maximize the number of data points for each job title.
Unfortunately, results are: Very subjective Too general Only apply to existing employee base
Unfortunately, results are:
PeopleTicker recognizes that:
Problems with salary survey approach: The following table summarizes some of the difficulties associated with the gathering and comparing of salary and rate information for full time and contingent workers using old salary survey approaches.