Patent Document ID: 7912868
Application ID: 11126184

Base Claim:
1. A machine-readable non-transitory medium having instructions stored thereon, where the instructions, when read by the machine, cause the machine to perform the steps of: accessing a semantic representation associated with a first dataset and a semantic representation associated with a second dataset, wherein at least one of the semantic representation associated with the first dataset and the semantic representation associated with the second dataset is a trainable semantic vector generated based on at least one data point included in a respective dataset and known relationships between predetermined data points and predetermined categories to which the predetermined data points may relate; determining a similarity between the semantic representation associated with the first dataset and the semantic representation associated with the second dataset; and selectively relating the first dataset to the second dataset based on a result of the determining step; wherein each attribute in a trainable semantic vector indicates how likely a dataset represented by the trainable semantic vector belongs to one of the predetermined categories, and the trainable semantic vector has a dimension equal to the number of the predetermined categories.

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Claim 11:
11. The machine-readable medium of claim 1 , wherein the information related to the at least one user includes at least one of documents previously viewed, previous search requests, user preferences and personal information.