Abstract: Systems and methods of the present invention provide for server(s) assigning section or list item classifications to price list or business data extracted from a website. The server routes each new task verifying the classification to a crowd worker, and the server receives a completed. The server calculates a crowd worker score for each crowd worker based on each worker's quality scores according to the worker's review of the classifications on a worker user interface. The server generates a quality model for predicting a task quality score for the task, according to an error score for the crowd worker. If the error score in the quality model is below a predetermined threshold, the server transmits the completed task to a task reviewer's client for review.

Abstract: Systems and methods of the present invention provide for one or more server computers configured to assign section or list item classifications to price list or business data extracted from a website. The server calculates a crowd worker score for each of a plurality of crowd workers based on each worker's quality and speed scores for tasks reviewing the classifications on a worker user interface. If a crowd worker score for a worker is below a crowd worker quality threshold, each new task is routed to the worker, and the received task, when completed, is routed to a worker whose crowd worker score is above the crowd worker quality threshold for review.

Abstract: Systems and methods of the present invention provide for one or more server computers configured to assign section or list item classifications to price list or business data extracted from a website. The server assigns section or list item classifications to price list or business data extracted from a website. The server calculates a crowd worker score for each of a plurality of crowd workers based on each worker's quality and speed scores for tasks reviewing the classifications on a worker user interface. If a crowd worker score for a worker is below a crowd worker quality threshold, each new task is routed to the worker, and the received task, when completed, is routed to a worker whose crowd worker score is above the crowd worker quality threshold for review.

Abstract: A method for performing a market analysis for a first online business is disclosed. Market information for a plurality of online businesses may be collected. A user may request a market analysis for the first online business. Market information for the first online business may also be collected. The marketing information for the plurality of online businesses and the first online business may be canonicalized to make comparisons easier. One or more online businesses in the plurality of online businesses may be selected as being similar to the first online business. The marketing information for the first online business may be compared to the marketing information of the similar one or more online businesses. The results of the comparison may be displayed to the user. The user may request modifications to the first online business. The first online business may be modified and the modified online business may be published.