15. The computer-readable medium of claim 13 , wherein classifying a relevance for the at least one of the plurality of search results according to the logged data element comprises assigning a confidence to the at least one of the plurality of search results according to a decision tree, wherein at least one branch of the decision tree comprises the logged data element.
13. A computer-readable medium which stores a set of instructions which when executed performs a method for providing best-bet recommendations, the method executed by the set of instructions comprising: training a relevance classifier, wherein the relevance classifier comprises a decision tree comprising a plurality of nodes and wherein training the relevance classifier comprises: receiving a plurality of log data associated with users' behavior, wherein each of the plurality of log data comprises a relevance factor and a feedback category comprising at least one of the following categories: accepted, explored, and rejected, for each of the plurality of log data, determining whether the associated relevance factor is associated with a node of a decision tree, in response to determining that the associated relevance factor is not associated with a node of the decision tree, creating a new decision node associated with the relevance factor, in response to determining that the associated relevance factor is associated with a node of the decision tree, for each of the plurality of log data, updating a feedback category count associated with a decision node with the relevance factor of the log data according to the feedback category of the log data, and for each of the plurality of decision nodes, assigning a confidence value according to the feedback category count of the decision node; providing a plurality of search results in response to receiving a search query; logging a data element associated with at least one of the plurality of search results, wherein the logged data element comprises a captured user behavior associated with at least one of the relevance factors associated with the relevance classifier; classifying a relevance for the at least one of the plurality of search results according to an application of the logged data element to the relevance classifier; determining whether the at least one of the plurality of search results comprises a potential best-bet search result according to the classified relevance; in response to determining that the at least one of the plurality of search results comprises a potential best-bet search result according to the classified relevance, providing a recommendation that the at least one of the plurality of search results be surfaced as a best-bet search result; receive the search query from a second user; determine whether the recommendation that the at least one of the plurality of search results be surfaced as the best-bet search result has been approved; and in response to determining that the recommendation that the at least one of the plurality of search results be surfaced as the best-bet search result has been approved, provide the best-bet search result to the second user.