Measuring the E ects of Data Corruption onInformation
نویسنده
چکیده
A probability model is introduced which helps describing the eeects that data corruption has on information retrieval. This leads us to the deenition of a measure which analyses the eeects of data corruption on retrieval ranking. The behaviour of this measure is analysed theoretically. We give an explanation of some results found empirically by others. Our main results explain how retrieval ranking is aaected by the length of documents, and characteristics of the query features. The longer the documents are the less the overall ranking is corrupted. If the documents are long, a large variation of recognition characteristics of query features can have a heavy innuence on the ranking corruption. We show that some data corruption simulations are of questionable value when measuring eeects on information retrieval.
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تاریخ انتشار 1996