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ERIC Number: ED140860
Record Type: RIE
Publication Date: 1977-May
Reference Count: 0
The Effect of Document Ranking on Retrieval System Performance: A Search for an Optimal Ranking Rule.
Stirling, Keith H.
As the use of online literature searching systems increases, the need for reducing the amount of nonrelevant material encountered by the users becomes more apparent. One method for achieving greater selectivity in document retrieval is by using relevance (or utility) estimates from past users to estimate document values for future users. However, ranking rules used to sequence the retrieved documents have not provided optimal performance. This research attempts to develop an optimal document ranking rule and contrast it with other document ranking algorithms. Three ranking algorithms are studied: (1) the probability ranking rule (PRR), (2) the optimal probabilistic strategy (OPS), and (3) the optimal ranking rule (ORR). The study also identifies several computationally difficult problems associated with information retrieval. (Author/DAG)
Publication Type: Dissertations/Theses
Education Level: N/A
Authoring Institution: N/A
Note: Ph.D. Dissertation, University of California