1. A method comprising: generating, by one or more devices, a rank for a particular document, generating the rank including: determining particular feature data associated with a link to the particular document, the particular feature data identifying one or more attributes of the link, determining a weight indicating a probability of the link being selected, the weight being determined based on the particular feature data and selection data, the selection data identifying user behavior relating to links to other documents, the links including one or more links that were selected by user devices and one or more other links that were not selected by the user devices, the weight indicating a higher probability of the link being selected when the particular feature data corresponds to feature data associated with the one or more links than when the particular feature data corresponds to feature data associated with the one or more other links, the feature data associated with the one or more links and the feature data associated with the one or more other links being stored, in a memory associated with the one or more devices, as featured data associated with the links to the other documents, the featured data, associated with the links, identifying: context relating to one or more words before or after the links, words in anchor text associated with the links, and a quantity of the words in the anchor text, the weight being determined based on whether the particular feature data corresponds to the stored feature data associated with the one or more links or whether the particular feature data corresponds to the stored feature data associated with the one or more other links, the rank being generated based on the weight; identifying, by the one or more devices, documents associated with a search query, the documents, associated with the search query, including the particular document; and providing, by the one or more devices, information associated with the particular document based on: the search query, and the generated rank.
1. A method comprising: generating, by one or more devices, a rank for a particular document, generating the rank including: determining particular feature data associated with a link to the particular document, the particular feature data identifying one or more attributes of the link, determining a weight indicating a probability of the link being selected, the weight being determined based on the particular feature data and selection data, the selection data identifying user behavior relating to links to other documents, the links including one or more links that were selected by user devices and one or more other links that were not selected by the user devices, the weight indicating a higher probability of the link being selected when the particular feature data corresponds to feature data associated with the one or more links than when the particular feature data corresponds to feature data associated with the one or more other links, the feature data associated with the one or more links and the feature data associated with the one or more other links being stored, in a memory associated with the one or more devices, as featured data associated with the links to the other documents, the featured data, associated with the links, identifying: context relating to one or more words before or after the links, words in anchor text associated with the links, and a quantity of the words in the anchor text, the weight being determined based on whether the particular feature data corresponds to the stored feature data associated with the one or more links or whether the particular feature data corresponds to the stored feature data associated with the one or more other links, the rank being generated based on the weight; identifying, by the one or more devices, documents associated with a search query, the documents, associated with the search query, including the particular document; and providing, by the one or more devices, information associated with the particular document based on: the search query, and the generated rank. 3. The method of claim 1 , further comprising: generating rules for a model that ranks certain documents based on information relating to links associated with the certain documents, the links associated with the certain documents including the links to the other documents, where the rank is generated using the model.