7. The method of claim 6 where the term-aspect distribution is determined by said sampling the value for an aspect z i that generated the term W at a term-slot t i using the aspect assignments of all other term-slots z−i as follows: P ⁡ ( z i = k | t i = w , t - i , z - i ) ∝ n k | e , - i + α  d e , - i  + α ⁢  K  × n t | k , = i + β n ⁢ . | k , - i ⁢ + β ⁢  υ  where n k|e,-i is the number of times one of the plurality of aspects k is observed for one of the plurality of entities e, n t|k,-i is the number of times one of the plurality of terms t is sampled from k, |d e,-i | is the number of term occurrences associated with e, and n •|k,-i s the total number of entities generated from aspect k, α and β are Dirichlet smoothing parameters.
6. The method of claim 1 where each of the first set of probabilities is θ ek =p(k|e), calculated as follows for each of the plurality of aspects k and each of the plurality of entities e: θ ek = p ⁡ ( k | e ) = p ⁡ ( e , k ) p ⁡ ( e ) ∝ ∑ u ⁢ ⁢ ɛ ⁢ ⁢ U ⁢ p ⁡ ( u ) ⁢ p ⁡ ( k | u ) ⁢ p ⁡ ( e | k ) where p(u) is the probability that a user u makes an endorsement.