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2013 IEEE 29th International Conference on Data Engineering (ICDE)
With a little help from my friends
Brisbane, Australia Australia
April 08-April 12
ISBN: 978-1-4673-4909-3
Arnab Nandi, The Ohio State University, 2015 Neil Avenue, Columbus, OH USA (work done while at Microsoft)
Stelios Paparizos, Search Labs, Microsoft Research, 1065 La Avenida Street, Mountain View, CA USA
John C. Shafer, Search Labs, Microsoft Research, 1065 La Avenida Street, Mountain View, CA USA
Rakesh Agrawal, Search Labs, Microsoft Research, 1065 La Avenida Street, Mountain View, CA USA
A typical person has numerous online friends that, according to studies, the person often consults for opinions and advice. However, public broadcasting a question to all friends risks social capital when repeated too often, is not tolerant to topic sensitivity, and can result in no response, as the message is lost in a myriad of status updates. Direct messaging is more personal and avoids these pitfalls, but requires manual selection of friends to contact, which can be time consuming and challenging. A user may have difficulty guessing which of their numerous online friends can provide a high quality and timely response. We demonstrate a working system that addresses these issues by returning an ordered subset of friends predicting (a) near-term availability, (b) willingness to respond and (c) topical knowledge, given a query. The combination of these three aspects are unique to our solution, and all are critical to the problem of obtaining timely and relevant responses. Our system acts as a decision aid — we give insight into why each friend was recommended and let the user decide whom to contact.
Citation:
Arnab Nandi, Stelios Paparizos, John C. Shafer, Rakesh Agrawal, "With a little help from my friends," icde, pp.1288-1291, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013
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