15. A computer-implemented system for analyzing whether a listing object and a candidate object match, comprising: one or more processors; and a memory disposed in communication with the one or more processors and storing processor-executable instructions, the instructions comprising instructions for: a candidate generation module that uses a text search engine to generate candidate-listing pairs, a candidate-listing pair being a candidate object associated with the listing object; and a matching module, the matching module being defined to accept candidate-listing pairs from the candidate generation module, the matching module also including: a field construction module configured to analyze candidate-listing pairs and output the candidate object and a normalized listing object based on domain specific knowledge; a feature construction module configured to generate a matching feature vector from the normalized listing object and the candidate object; a judging committee module configured to generate criterion judgments based on analysis of the matching feature vector with domain-specific matching criteria, wherein the analysis includes the application of at least one rule system which includes a set of rules with precedence; and a judgment aggregation module defined to generate an output judgment based on a plurality of criterion judgments.
15. A computer-implemented system for analyzing whether a listing object and a candidate object match, comprising: one or more processors; and a memory disposed in communication with the one or more processors and storing processor-executable instructions, the instructions comprising instructions for: a candidate generation module that uses a text search engine to generate candidate-listing pairs, a candidate-listing pair being a candidate object associated with the listing object; and a matching module, the matching module being defined to accept candidate-listing pairs from the candidate generation module, the matching module also including: a field construction module configured to analyze candidate-listing pairs and output the candidate object and a normalized listing object based on domain specific knowledge; a feature construction module configured to generate a matching feature vector from the normalized listing object and the candidate object; a judging committee module configured to generate criterion judgments based on analysis of the matching feature vector with domain-specific matching criteria, wherein the analysis includes the application of at least one rule system which includes a set of rules with precedence; and a judgment aggregation module defined to generate an output judgment based on a plurality of criterion judgments. 17. The computer-implemented system as in claim 15 , wherein the at least one rule system is human generated.