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Forming user models by understanding user feedback

User Modeling and User-Adapted Interaction, 1994
An intelligent advisory system should be able to provide explanatory responses that correct mistaken user beliefs. This task requires the ability to form a model of the user's relevant beliefs and to understand and address feedback from users who are not satisfied with its advice.
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Discovering URLs through user feedback

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Search engines rely upon crawling to build their Web page collections. A Web crawler typically discovers new URLs by following the link structure induced by links on Web pages. As the number of documents on the Web is large, discovering newly created URLs may take arbitrarily long, and depending on how a given page is connected to others, such a ...
Xiao Bai   +2 more
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On the Automated Processing of User Feedback

arXiv.org
User feedback is becoming an increasingly important source of information for requirements engineering, user interface design, and software engineering in general.
Walid Maalej   +3 more
semanticscholar   +1 more source

User feedback logbook (D5.1)

Result of a user survey conducted in May 2025 among users who had requested an EU Project Community on Zenodo. In total 674 users were invited to participate and 78 responded (12% response rate). The survey was designed to collect primarily free-form feedback in order to gather more detailed feedback from.
Nielsen, Lars Holm, Ioannidis, Alex
openaire   +1 more source

Voice of the users: an extended study of software feedback engagement

Requirements Engineering, 2021
James Tizard   +3 more
semanticscholar   +1 more source

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

IEEE Transactions on Industrial Informatics, 2019
Automatic recommendation has become an increasingly relevant problem to industries, which allows users to discover new items that match their tastes and enables the system to target items to the right users. In this paper, we propose a deep learning (DL)
Baolin Yi   +6 more
semanticscholar   +1 more source

Sound and User Feedback

2011
Silent movies still have nostalgic value and are a key part of the history of entertainment. However, silent video games or silent interactive applications don’t seem to fit in that category. A user experience needs to be engaging. Accessibility options can help make sure all users experience the same level of interaction.
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Destructive Feedback: a user created strategy for collecting user feedback in shared systems

2023
This paper documents a method for collecting user feedback on broken or malfunctioning devices dubbed Destructive Feedback; where the user deliberately “breaks” the device by removing an affordance. This makes it easier to detect visually and with sensors, as well as discourages others from using a broken device.
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Adaptive artificial companions learning from users’ feedback

Adaptive Behavior, 2016
Abir-Beatrice Karami   +2 more
semanticscholar   +1 more source

Template Parsing with User Feedback

2005 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC'05), 2005
Spreadsheets are among the most widely used end-user programming systems. According to some estimates, up to 90% of spreadsheets have non-trivial errors in them (Rajalingham et al., 2001). In many cases, spreadsheet errors have resulted in huge financial losses for companies.
openaire   +1 more source

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