Metrics for evaluating database selection techniques
World Wide Web
Sources of evidence for vertical selection
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Evaluating large-scale distributed vertical search
Proceedings of the 9th workshop on Large-scale and distributed informational retrieval
Evaluating aggregated search pages
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Hierarchical target type identification for entity-oriented queries
Proceedings of the 21st ACM international conference on Information and knowledge management
Evaluating reward and risk for vertical selection
Proceedings of the 21st ACM international conference on Information and knowledge management
Which vertical search engines are relevant?
Proceedings of the 22nd international conference on World Wide Web
On the reliability and intuitiveness of aggregated search metrics
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Aggregating search results from a variety of heterogeneous sources, i.e. so-called verticals [1], such as news, image, video and blog, into a single interface has become a popular paradigm in web search. In this paper, we present the results of a user study that collected more than 1,500 assessments of vertical intent over 320 web topics. Firstly, we show that users prefer diverse vertical content for many queries and that the level of inter-assessor agreement for the task is fair [2]. Secondly, we propose a methodology to predict the vertical intent of a query using a search engine log by exploiting click-through data, and show that it outperforms traditional approaches.