Now Subscribe to TREC + Training data available May 2014 New sample data released August 18, 2014 Vertical selection and resource selection runs due September 15, 2014 Results merging results due 18-21 November, 2014 TREC 2014 conference
The 2014 FedWeb track promotes research on federated search with realistic web data. Federated search is the approach of querying multiple search engines simultaneously, and combining their results into one coherent search engine result page. The goal of the Federated Web Search (FedWeb) track is to evaluate approaches to federated search at very large scale in a realistic setting, by combining the search results of existing web search engines. This year the track focuses on vertical selection (selecting the right category/media/type of data), resource selection (selecting the search engines that should be queried), and results merging (combining the results into a single ranked list):
This year's new challenge is the Vertical Selection task, where the participants have to predict the quality of the different verticals for a particular query (for instance sports, news, or images). A set of relevant verticals should be selected for each test topic.
The second task, Resource Selection, is about predicting the quality of the individual resources on the test topics, where the participants are required to rank all resources.
The third and final task, Results Merging, aims at creating ranked lists of result snippets, by merging results from a limited number of resources. Not only relevance of individual results, but also diversity in terms of verticals should be taken into account. Participants should also eliminate duplicates from the final ranking.
Track coordinators
Djoerd Hiemstra - University of Twente, The Netherlands Thomas Demeester - Ghent University, Belgium Dolf Trieschnigg - University of Twente, The Netherlands Dong Nguyen - University of Twente, The Netherlands Ke (Adam) Zhou - University of Edinburgh, Scotland, UK