Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Charles L. A. Clarke"'
Publikováno v:
Information Retrieval Journal. 25:365-385
Recent years have seen enormous gains in core IR tasks, including document and passage ranking. Datasets and leaderboards, and in particular the MS MARCO datasets, illustrate the dramatic improvements achieved by modern neural rankers. When compared
Publikováno v:
ACM SIGIR Forum. 55:1-6
This is a report on the NTCIR-15 conference held online in December 2020. NTCIR is a sesquiannual research project designed to evaluate various information access technologies, including information retrieval, information recommendation, question ans
Publikováno v:
ACM Transactions on Information Systems. 39:1-21
Assessors make preference judgments faster and more consistently than graded judgments. Preference judgments can also recognize distinctions between items that appear equivalent under graded judgments. Unfortunately, preference judgments can require
Autor:
Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells
The dramatic improvements in core information retrieval tasks engendered by neural rankers create a need for novel evaluation methods. If every ranker returns highly relevant items in the top ranks, it becomes difficult to recognize meaningful differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0295d4be00e6469395823e3c3dbd90a
Publikováno v:
CIKM
Over the last few years, contextualized pre-trained transformer models such as BERT have provided substantial improvements on information retrieval tasks. Traditional sparse retrieval methods such as BM25 rely on high-dimensional, sparse, bag-of-word
Publikováno v:
SIGIR
The offline evaluation of search requires us to define a standard against which we measure the quality of results returned by a ranker. Frequently this standard is defined in absolute terms through relevance grades, but it can also be defined in rela
Publikováno v:
CHIIR
Information retrieval researchers often use eye-tracking to gain insights into searchers' decision making processes. In this paper, we present a visualizing method for summarizing the gaze patterns of multiple searchers on search engine result pages
Existing human mobility forecasting models follow the standard design of the time-series prediction model which takes a series of numerical values as input to generate a numerical value as a prediction. Although treating this as a regression problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::382bfc33be3c978ec06e1ffdf2081b31
Publikováno v:
CIKM
NDCG and similar measures remain standard for the offline evaluation of search, recommendation, question answering and similar systems. These measures require definitions for two or more relevance levels, which human assessors then apply to judge ind
Publikováno v:
ICTIR
Voice-based assistants have become a popular tool for conducting web search, particularly for factoid question answering. However, for more complex web searches, their functionality remains limited, as does our understanding of the ways in which user