Results 71 to 80 of about 5,543,464 (336)

Integrating rich user feedback into intelligent user interfaces [PDF]

Proceedings of the 13th international conference on Intelligent user interfaces, 2008
The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous amount of rich feedback to machine learning systems, and that the types of some of this rich feedback seem promising for assimilation
Simone Stumpf, Erin Sullivan, Erin Fitzhenry, Ian Oberst, Weng-Keen Wong, Margaret M. Burnett   +5 more
openaire   +2 more sources

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source

MSE minimized joint transmission in coordinated multipoint systems with sparse feedback and constrained backhaul requirements

EURASIP Journal on Wireless Communications and Networking, 2021
In a joint transmission coordinated multipoint (JT-CoMP) system, a shared spectrum is utilized by all neighbor cells. In the downlink, a group of base stations (BSs) coordinately transmit the users’ data to avoid serious interference at the users in the ...
Mohammad Bagher Nezafati, Mehrdad Taki, Tommy Svensson   +2 more
doaj   +1 more source

Incorporating user search behaviour into relevance feedback [PDF]

, 2003
In this paper we present five user experiments on incorporating behavioural information into the relevance feedback process. In particular we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query.
Beaulieu, Borlund, Borlund, Borlund, Campbell, Campbell, Efthimiadis, Ellis, Florance, Haines, Harman, Harman, Kuhlthau, Kuhlthau, Over, Porter, Robertson, Robertson, Ruthven, Ruthven, Ruthven, Ruthven, Ruthven, Salton, Spink, Vakkari, Vakkari, Voorhees   +27 more
core   +2 more sources

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback [PDF]

AAAI Conference on Artificial Intelligence, 2015
Modern recommender systems model people and items by discovering or `teasing apart' the underlying dimensions that encode the properties of items and users' preferences toward them.
Ruining He, Julian McAuley
semanticscholar   +1 more source

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee, Holly Evans, Claire E. Wakefield, Antoinette Anazodo, Richard J. Cohn, Brittany C. McGill, Elizabeth A. Lobb, Lori Wiener, Madeleine L. Juhrmann, Ursula M. Sansom‐Daly   +9 more
wiley   +1 more source

Reducing Risky Security Behaviours: Utilising Affective Feedback to Educate Users

Future Internet, 2014
Despite the number of tools created to help end-users reduce risky security behaviours, users are still falling victim to online attacks. This paper proposes a browser extension utilising affective feedback to provide warnings on detection of risky ...
Lynsay A. Shepherd, Jacqueline Archibald, Robert Ian Ferguson   +2 more
doaj   +1 more source

Hybrid group recommendations for a travel service [PDF]

, 2016
Recommendation techniques have proven their usefulness as a tool to cope with the information overload problem in many classical domains such as movies, books, and music.
De Pessemier, Toon, Dhondt, Jeroen, Martens, Luc   +2 more
core   +1 more source

Neural Document Expansion with User Feedback [PDF]

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019
This paper presents a neural document expansion approach (NeuDEF) that enriches document representations for neural ranking models. NeuDEF harvests expansion terms from queries which lead to clicks on the document and weights these expansion terms with learned attention. It is plugged into a standard neural ranker and learned end-to-end. Experiments on
Yue Yin, Chenyan Xiong, Cheng Luo 0001, Zhiyuan Liu 0001   +3 more
openaire   +2 more sources

Users’ design feedback in usability evaluation: a literature review

Human-Centric Computing and Information Sciences, 2017
As part of usability evaluation, users may be invited to offer their reflections on the system being evaluated. Such reflections may concern the system’s suitability for its context of use, usability problem predictions, and design suggestions.
Asbjørn Følstad
semanticscholar   +1 more source