TY - GEN
T1 - Fun facts
T2 - 10th ACM International Conference on Web Search and Data Mining, WSDM 2017
AU - Tsurel, David
AU - Pelleg, Dan
AU - Guy, Ido
AU - Shahaf, Dafna
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/2/2
Y1 - 2017/2/2
N2 - A significant portion of web search queries directly refers to named entities. Search engines explore various ways to improve the user experience for such queries. We suggest augmenting search results with trivia facts about the searched entity. Trivia is widely played throughout the world, and was shown to increase users' engagement and retention. Most random facts are not suitable for the trivia section. There is skill (and art) to curating good trivia. In this paper, we formalize a notion of trivia-worthiness and propose an algorithm that automatically mines trivia facts from Wikipedia. We take advantage ofWikipedia's category structure, and rank an entity's categories by their triviaquality. Our algorithm is capable of finding interesting facts, such as Obama's Grammy or Elvis' stint as a tank gunner. In user studies, our algorithm captures the intuitive notion of "good trivia" 45% higher than prior work. Search-page tests show a 22% decrease in bounce rates and a 12% increase in dwell time, proving our facts hold users' attention.
AB - A significant portion of web search queries directly refers to named entities. Search engines explore various ways to improve the user experience for such queries. We suggest augmenting search results with trivia facts about the searched entity. Trivia is widely played throughout the world, and was shown to increase users' engagement and retention. Most random facts are not suitable for the trivia section. There is skill (and art) to curating good trivia. In this paper, we formalize a notion of trivia-worthiness and propose an algorithm that automatically mines trivia facts from Wikipedia. We take advantage ofWikipedia's category structure, and rank an entity's categories by their triviaquality. Our algorithm is capable of finding interesting facts, such as Obama's Grammy or Elvis' stint as a tank gunner. In user studies, our algorithm captures the intuitive notion of "good trivia" 45% higher than prior work. Search-page tests show a 22% decrease in bounce rates and a 12% increase in dwell time, proving our facts hold users' attention.
UR - http://www.scopus.com/inward/record.url?scp=85015290809&partnerID=8YFLogxK
U2 - 10.1145/3018661.3018709
DO - 10.1145/3018661.3018709
M3 - Conference contribution
AN - SCOPUS:85015290809
T3 - WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining
SP - 345
EP - 354
BT - WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining
PB - Association for Computing Machinery, Inc
Y2 - 6 February 2017 through 10 February 2017
ER -