15. The non-transitory computer-readable storage medium of claim 13 , wherein selecting the recommendation comprises: receiving an input context associated with the user; selecting the recommendation from a corpus of recommendations based on the plurality of personality metrics and the input context; calculating a weight for each of a plurality of recommendations from the corpus, each weight based on a degree of correspondence between the plurality of personality metrics and a corresponding recommendation; and selecting the recommendation from the plurality of recommendations responsive to the weight corresponding to the recommendation; and providing the recommendation for presentation to the user.
15. The non-transitory computer-readable storage medium of claim 13 , wherein selecting the recommendation comprises: receiving an input context associated with the user; selecting the recommendation from a corpus of recommendations based on the plurality of personality metrics and the input context; calculating a weight for each of a plurality of recommendations from the corpus, each weight based on a degree of correspondence between the plurality of personality metrics and a corresponding recommendation; and selecting the recommendation from the plurality of recommendations responsive to the weight corresponding to the recommendation; and providing the recommendation for presentation to the user. 16. The non-transitory computer-readable storage medium of claim 15 , wherein the recommendation corresponds to a venue, the method further comprising: adjusting the weight corresponding to the recommendation based on a rating for the venue provided by another user.