15. The non-transitory computer-readable medium of claim 14 , wherein the recommendation module further implements a process comprising: retrieving a negative model associated with the first user, wherein the negative model is generated based on a second set of literary works that are assigned a rating below a third threshold value by the first user; comparing the negative model with the retrieved fingerprints; identifying one or more third literary works in the plurality of literary works that are associated with a fingerprint that is within a fourth threshold value of the negative model; and preventing transmission of an identity of the one or more third literary works to the user device.
15. The non-transitory computer-readable medium of claim 14 , wherein the recommendation module further implements a process comprising: retrieving a negative model associated with the first user, wherein the negative model is generated based on a second set of literary works that are assigned a rating below a third threshold value by the first user; comparing the negative model with the retrieved fingerprints; identifying one or more third literary works in the plurality of literary works that are associated with a fingerprint that is within a fourth threshold value of the negative model; and preventing transmission of an identity of the one or more third literary works to the user device. 16. The non-transitory computer-readable medium of claim 15 , wherein the retrieved fingerprints are generated based on semantic metrics and syntactic metrics.