With the escalating amount of data on the Internet, we have a growing need to search this information in new and more productive ways. A part of the data on the web are usually not available to conventional search engines, because these data can only be viewed by a form for example. With distributed information retrieval systems however, a majority of these data can be accessed. In these systems there exists a central broker with several servers, and the broker redirects queries to the servers. Every server fetches results from its own database and returns this to the broker.
We’re curious if this architecture can be created utilizing an economic model, in which servers have to pay for the right to return results. We notice from earlier research that the usage of an economic model might yield great results, as an effective spam filter based on an economic model was already built. The purpose of these studies is to develop a productive distributed information retrieval system depending on an economic model, allowing servers to open up their part of the deep web. This research includes 3 areas: 1) choosing appropriate economic models, 2) simulating these models, and 3) conducting a real-world test. We picked the economic models beginning with a review of the current literature on economic models.
Source: University of Twente
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