Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
The query-flow graph: model and applications
Proceedings of the 17th ACM conference on Information and knowledge management
Query suggestions using query-flow graphs
Proceedings of the 2009 workshop on Web Search Click Data
Towards recency ranking in web search
Proceedings of the third ACM international conference on Web search and data mining
The demographics of web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Information credibility on twitter
Proceedings of the 20th international conference on World wide web
Sparsification of influence networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
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In the first part of this presentation, we will overview two systems that gather and display intelligence from search behavior: "Yahoo! Search Clues" and "Yahoo! Political Insights". In the second part, we will discuss two real-world problems encountered when mining user-generated content: determining which pieces of content are credible, and modeling how users influence each other.