1. One or more processor-accessible tangible media comprising processor-executable instructions for training a search result ranker, wherein the processor-executable instructions, when executed, direct a system to perform acts comprising: inferring user interests from user interactions with search results for a particular query, the search results including identifiers that comprise uniform resource locators (URLs); determining respective relevance scores associated with respective query-identifier pairs of the search results, each respective relevance score comprising a respective probability of the respective identifier being skipped by a user; formulating query-identifier-relevance score triplets from the respective relevance scores associated with the respective query-identifier pairs; submitting the query-identifier-relevance score triplets as training samples to a search result ranker; and training the search result ranker as a learning machine with multiple training samples comprising the query-identifier-relevance score triplets.