33. The system of claim 27 , wherein the system employs a similarity measure selected from a group consisting of: latent semantic indexing, vector-based similarity, full text search in which the similarity measure is computed using Term Frequency Inverse Document Frequency, page ranking, Bayesian classification, and any combination of these.
27. The system of claim 26 , wherein the computer system for performing the search is a computer system of conducting a two-way search, and wherein a method of conducting a three-way search further comprises: a wish list search module for executing a wish list search, based on one or more input search strings received as input, using search criteria to select and score a set of target documents against the one or more input search strings, each target document given a wish list score representing similarity between the target document and one or more input search strings, the set of target documents with the wish list scores representing a wish list search result set; and a second combining module for combining the secondary combined score and wish list score for respective ones of the target documents, each target document given a primary combined score based on the combining that is a function of the secondary combined score and the wish list score, the set of target documents with the primary combined scores representing a primary result set.