Answering Comparative Questions: Better than Ten-Blue-Links?
This addresses the challenge of efficiently and accurately answering comparative questions for users, representing a domain-specific improvement in information retrieval.
The paper tackled the problem of answering comparative questions by developing CAM, an open-domain IR system that argumentatively compares objects using Common Crawl data, resulting in users obtaining 15% more accurate answers and being 20% faster compared to traditional keyword-based search.
We present CAM (comparative argumentative machine), a novel open-domain IR system to argumentatively compare objects with respect to information extracted from the Common Crawl. In a user study, the participants obtained 15% more accurate answers using CAM compared to a "traditional" keyword-based search and were 20% faster in finding the answer to comparative questions.