Answers, not links

Ingmar Weber, Antti Ukkonen, Aris Gionis
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We investigate the problem of mining "tips" from Yahoo! Answers and displaying those tips in response to related web queries. Here, a "tip" is a short, concrete and self-contained bit of non-obvious advice such as "To zest a lime if you don't have a zester : use a cheese grater." First, we estimate the volume of web queries with "how-to" intent, which could be potentially addressed by a tip. Second, we analyze how to detect such queries automatically without solely relying on literal "how to *"
more » ... patterns. Third, we describe how to derive potential tips automatically from Yahoo! Answers, and we develop machine-learning techniques to remove low-quality tips. Finally, we discuss how to match web queries with "how-to" intent to tips. We evaluate both the quality of these direct displays as well as the size of the query volume that can be addressed by serving tips.
doi:10.1145/2124295.2124369 dblp:conf/wsdm/WeberUG12 fatcat:wpkufdj325cx3ia6fovwzjaavu