{"id":148036,"date":"2005-01-01T00:00:00","date_gmt":"2005-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/the-trec-terabyte-retrieval-track\/"},"modified":"2018-10-16T20:39:15","modified_gmt":"2018-10-17T03:39:15","slug":"the-trec-terabyte-retrieval-track","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-trec-terabyte-retrieval-track\/","title":{"rendered":"The TREC terabyte retrieval track"},"content":{"rendered":"
The Terabyte Retrieval Track of the Text REtrieval Conference (TREC) provides an opportunity
\nto test retrieval techniques and evaluation methodologies in the context of a terabyte-scale corpus.
\nGiven the size of the corpus, the track also provides a vehicle for participants to investigate query
\nand indexing speeds. This brief summary outlines track activities to date and previews our plans for
\nTREC 2005. For complete information, the reader should consult the full version of this report [1].
\nA proposal for the Terabyte Track was developed during a SIGIR 2003 workshop and was
\naccepted by the TREC program committee for inclusion in TREC 2004. For the initial year of
\noperation, we decided to base the track on a crawl of the gov” domain, since we believed that this
\nwould generate roughly a terabyte of data and would provide us with a realistic setting, in which
\nboth links structure and anchor text could be productively exploited.<\/p>\n","protected":false},"excerpt":{"rendered":"
The Terabyte Retrieval Track of the Text REtrieval Conference (TREC) provides an opportunity to test retrieval techniques and evaluation methodologies in the context of a terabyte-scale corpus. Given the size of the corpus, the track also provides a vehicle for participants to investigate query and indexing speeds. This brief summary outlines track activities to date […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-148036","msr-research-item","type-msr-research-item","status-publish","hentry","msr-locale-en_us"],"msr_publishername":"","msr_edition":"SIGIR 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