RETRIEVAL SYSTEMS AND METHODS EMPLOYING PROBABILISTIC CROSS-MEDIA RELEVANCE FEEDBACK

In a retrieval application, a document relevance scoring function comprises a weighted combination of scoring components including at least one of a pseudo-relevance scoring component and a cross-media relevance scoring component. Weights of the document relevance scoring function are optimized to generate a trained document relevance scoring function. The optimizing is respective to a set of training documents including at least some multimedia training documents and a set of training queries and corresponding training document relevance annotations. A retrieval operation is performed for an input query respective to a database using the trained document relevance scoring function to retrieve one or more documents from the database.