Global budgets for local recommendations

We present the design, implementation and evaluation of a new geotagging service, Gloe, that makes it easy to find, rate and recommend arbitrary on-line content in a mobile setting. The service automates the content search process by taking advantage of geographic and social context, while using crowdsourced expertise to present a personalized feed of targeted information ranked by a novel geo-aware rating and incentive mechanism. Users rate the relevance of recommendations for particular locations using a limited, global voting budget. This budget is, in turn, increased by accurately predicting local content popularity. One of the key goals of our mechanism is to encourage ratings, and in an evaluation of the live system we found that the rating to click ratio was 107 times higher than the ratio for videos on YouTube, 34 times higher than the ratio for applications on the Android Market, and 3 times higher than the ratio for Web pages on Digg. To investigate whether our mechanism als...

• Type: Conference
• Year: 2010
• Where: RECSYS
• Authors: Thomas Sandholm, Hang Ung, Christina Aperjis, Bernardo A. Huberman
• Keywords: Arbitrary On-line Content, Content Search Process, Control Systems, Global Voting Budget, RECSYS 2010