Mitigating bias in algorithmic systems—a fish-eye view
Mitigating bias in algorithmic systems is a critical issue drawing attention across
communities within the information and computer sciences. Given the complexity of the …
communities within the information and computer sciences. Given the complexity of the …
An introduction to neural information retrieval
Neural ranking models for information retrieval (IR) use shallow or deep neural networks to
rank search results in response to a query. Traditional learning to rank models employ …
rank search results in response to a query. Traditional learning to rank models employ …
Neural models for information retrieval
Neural ranking models for information retrieval (IR) use shallow or deep neural networks to
rank search results in response to a query. Traditional learning to rank models employ …
rank search results in response to a query. Traditional learning to rank models employ …
A survey of query auto completion in information retrieval
In information retrieval, query auto completion (QAC), also known as typeahead [**ao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …
Online evaluation for information retrieval
Online evaluation is one of the most common approaches to measure the effectiveness of an
information retrieval system. It involves fielding the information retrieval system to real users …
information retrieval system. It involves fielding the information retrieval system to real users …
Search interface design and evaluation
This monograph reviews research on the design and evaluation of search user interfaces
that has been published within the past 10 years. Our primary goal is to integrate state-of-the …
that has been published within the past 10 years. Our primary goal is to integrate state-of-the …
[HTML][HTML] Eye-tracking studies of web search engines: A systematic literature review
A Strzelecki - Information, 2020 - mdpi.com
This paper analyzes peer-reviewed empirical eye-tracking studies of behavior in web search
engines. A framework is created to examine the effectiveness of eye-tracking by drawing on …
engines. A framework is created to examine the effectiveness of eye-tracking by drawing on …
Exploring session context using distributed representations of queries and reformulations
B Mitra - Proceedings of the 38th international ACM SIGIR …, 2015 - dl.acm.org
Search logs contain examples of frequently occurring patterns of user reformulations of
queries. Intuitively, the reformulation" San Francisco"--" San Francisco 49ers" is semantically …
queries. Intuitively, the reformulation" San Francisco"--" San Francisco 49ers" is semantically …
Influence of vertical result in web search examination
Research in how users examine results on search engine result pages (SERPs) helps
improve result ranking, advertisement placement, performance evaluation and search UI …
improve result ranking, advertisement placement, performance evaluation and search UI …
An f-shape click model for information retrieval on multi-block mobile pages
Most click models focus on user behaviors towards a single list. However, with the
development of user interface (UI) design, the layout of displayed items on a result page …
development of user interface (UI) design, the layout of displayed items on a result page …