Reinforced clustering of multi-type data objects for search term suggestion

摘要

Systems and methods for related term suggestion are described. In one aspect, relationships among respective ones of two or more multi-type data objects are identified. The respective ones of the multi-type data objects include at least one object of a first type and at least one object of a second type that is different from the first type. The multi-type data objects are iteratively clustered in view of respective ones of the relationships to generate reinforced clusters.