Descriptor
| Bayesian Statistics | 2 |
| Relevance (Information… | 2 |
| Behavior Patterns | 1 |
| Information Retrieval | 1 |
| Mathematical Formulas | 1 |
| Models | 1 |
| Online Searching | 1 |
| Online Systems | 1 |
| Prediction | 1 |
| Predictive Measurement | 1 |
| Probability | 1 |
| More ▼ | |
Author
| Kantor, Paul B. | 1 |
| Robertson, S. E. | 1 |
Publication Type
| Journal Articles | 2 |
| Opinion Papers | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
Audience
| Researchers | 2 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedRobertson, S. E. – Journal of Documentation, 1986
A Bayesian argument is used to suggest modifications to the Robertson and Jones relevance weighting formula to accommodate the addition to the query of terms taken from the relevant documents identified during the search. (Author)
Descriptors: Bayesian Statistics, Information Retrieval, Mathematical Formulas, Online Systems
Peer reviewedKantor, Paul B. – Journal of the American Society for Information Science, 1987
Examines a statistical model in which the users of an online system continually update their estimated probability of success, and quit or continue the search according to the expected utility of each action. The implications for search strategies are discussed. (Author/EM)
Descriptors: Bayesian Statistics, Behavior Patterns, Models, Online Searching
