1. A computing system, comprising: a device processor; a memory device including instructions that, when executed by the device processor, cause the computing system to: receive first audio input data from a voice-enabled communications device, the first audio input data corresponding to a first utterance of a user received by a microphone of the voice-enabled communications device; identify a first volume level of the first audio input data; identify a first search query from the first audio input data by performing automated speech recognition on the first audio input data; identify a set of categories associated with the first search query, the set of categories including two or more categories, each of the two or more categories being ranked according to respective relevance scores to the first search query; identify a first set of results associated with a first category of the set of categories, the first category having a largest relevance score to the first search query; cause the first set of results to be transmitted to the voice-enabled communications device, the first set of results being presented to the user of the voice-enabled communications device; receive second audio input data from the voice-enabled communications device, the second audio input data corresponding to a second utterance of the user received by the microphone of the voice-enabled communications device; identify a second volume level of the second audio input data; identify a second search query from the second audio input data by performing automated speech recognition on the second audio input data; determine that the first category is incorrect by: calculating a voice volume difference by comparing the first volume level and the second volume level; and determining whether the voice volume difference is above a volume difference threshold, the volume difference threshold indicating whether the volume level of the second utterance is at least a predetermined amount louder than the volume level of the first utterance; decrease the relevance score of the first category for the first search query when the voice volume difference is determined to be above the volume difference threshold; identify a second category of the set of categories associated with the first search query; and increase the relevance score of the second category for the first search query when the voice volume difference is determined to be below the volume difference threshold.
3. The computing system of claim 1 , wherein determining that the first category is incorrect further comprises: determining the voice volume difference is above the volume difference threshold; or calculating a search query similarity score by comparing the first search query and the second search query; and determining the search query similarity score is above a similarity score threshold indicating that the second search query is a repeat search query of the first search query.