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» Why we search: visualizing and predicting user behavior
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EMNLP
2010
13 years 5 months ago
Context Comparison of Bursty Events in Web Search and Online Media
In this paper, we conducted a systematic comparative analysis of language in different contexts of bursty topics, including web search, news media, blogging, and social bookmarkin...
Yunliang Jiang, Cindy Xide Lin, Qiaozhu Mei
CGF
2010
155views more  CGF 2010»
13 years 7 months ago
SmallWorlds: Visualizing Social Recommendations
We present SmallWorlds, a visual interactive graph-based interface that allows users to specify, refine and build item-preference profiles in a variety of domains. The interface f...
Brynjar Gretarsson, John O'Donovan, Svetlin Bostan...
TVCG
2011
198views more  TVCG 2011»
13 years 2 months ago
Forecasting Hotspots - A Predictive Analytics Approach
—Current visual analytics systems provide users with the means to explore trends in their data. Linked views and interactive displays provide insight into correlations among peop...
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Ste...
CHI
2011
ACM
12 years 11 months ago
Enhancing credibility judgment of web search results
In this paper, we propose a system for helping users to judge the credibility of Web search results and to search for credible Web pages. Conventional Web search engines present o...
Yusuke Yamamoto, Katsumi Tanaka
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 3 months ago
Domain bias in web search
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang