| 摘要 |
Methods of quantifying a reputation for a data source are presented. Historical documents having opinions and that are attributed to a data source are identified. The opinions preferably are quantifiable and can be converted into a predication. As the predications are verified, the data source is assigned one or more predication scores indicating the accuracy of the predications. A reputation score for a new document having a new predication can be assigned to the data source as a function of the predictions scores from the historical documents, data source affiliations, document topics, or other parameters. The reputation score relating to the new document can be presented to a user via a computer interface as a single-value, or multiple values corresponding to different topics.
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