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The document discusses intention-based search and how to effectively represent and compare meaning in computer systems to improve search accuracy. It highlights the limitations of keyword-based searches in interpreting human-generated content and proposes a tensor model as a more effective approach for representing meaning. Experimental results show that the tensor model outperforms traditional models like tf-idf and ontology-based vector models in most cases.
