The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation of text ranking is search …
Much of the evaluation and tuning of a search system relies on relevance labels--- annotations that say whether a document is useful for a given search and searcher. Ideally …
The rise of online misinformation is posing a threat to the functioning of democratic processes. The ability to algorithmically spread false information through online social …
D Kelly - Foundations and Trends® in Information Retrieval, 2009 - nowpublishers.com
This paper provides overview and instruction regarding the evaluation of interactive information retrieval systems with users. The primary goal of this article is to catalog and …
M Sanderson - Foundations and Trends® in Information …, 2010 - nowpublishers.com
Use of test collections and evaluation measures to assess the effectiveness of information retrieval systems has its origins in work dating back to the early 1950s. Across the nearly 60 …
G Kazai - Advances in Information Retrieval: 33rd European …, 2011 - Springer
Crowdsourcing is increasingly looked upon as a feasible alternative to traditional methods of gathering relevance labels for the evaluation of search engines, offering a solution to the …
GV Cormack, MR Grossman - Proceedings of the 37th international ACM …, 2014 - dl.acm.org
Using a novel evaluation toolkit that simulates a human reviewer in the loop, we compare the effectiveness of three machine-learning protocols for technology-assisted review as …
We undertake a detailed examination of the steps that make up offline experiments for recommender system evaluation, including the manner in which the available ratings are …
O Alonso, S Mizzaro - Information processing & management, 2012 - Elsevier
Crowdsourcing has recently gained a lot of attention as a tool for conducting different kinds of relevance evaluations. At a very high level, crowdsourcing describes outsourcing of tasks …