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Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art
M Virvou - Intelligent Decision Technologies, 2023 - journals.sagepub.com
Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience
(UX) by providing deep understanding, profound empathy, tailored assistance, useful …
(UX) by providing deep understanding, profound empathy, tailored assistance, useful …
User profiles for personalized information access
The amount of information available online is increasing exponentially. While this
information is a valuable resource, its sheer volume limits its value. Many research projects …
information is a valuable resource, its sheer volume limits its value. Many research projects …
Evaluating human-language model interaction
Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …
code autocomplete, involve human-LM interaction. However, most benchmarks are non …
Applications of topic models
How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …
documents? This is an increasingly common problem: sifting through an organization's e …
User models for adaptive hypermedia and adaptive educational systems
One distinctive feature of any adaptive system is the user model that represents essential
information about each user. This chapter complements other chapters of this book in …
information about each user. This chapter complements other chapters of this book in …
Adaptive interfaces and agents
A Jameson - The human-computer interaction handbook, 2007 - api.taylorfrancis.com
Introduction................................. 434Concepts.................................... 434Functions: Supporting
System Use............... 435Taking Over Parts of Routine Tasks............... 435Adapting the …
System Use............... 435Taking Over Parts of Routine Tasks............... 435Adapting the …
Personalized recommendation on dynamic content using predictive bilinear models
W Chu, ST Park - Proceedings of the 18th international conference on …, 2009 - dl.acm.org
In Web-based services of dynamic content (such as news articles), recommender systems
face the difficulty of timely identifying new items of high-quality and providing …
face the difficulty of timely identifying new items of high-quality and providing …
Case-based recommendation
B Smyth - The adaptive web: Methods and strategies of web …, 2007 - Springer
Recommender systems try to help users access complex information spaces. A good
example is when they are used to help users to access online product catalogs, where …
example is when they are used to help users to access online product catalogs, where …
Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data
V Fast, D Schnurr, M Wohlfarth - Journal of Information …, 2023 - journals.sagepub.com
Recent high-profile antitrust cases and policy proposals have put a spotlight on the
relationship between firms' access to big data and sustained competitive advantages in …
relationship between firms' access to big data and sustained competitive advantages in …
Personalised information retrieval: survey and classification
Abstract Information Retrieval (IR) systems assist users in finding information from the
myriad of information resources available on the Web. A traditional characteristic of IR …
myriad of information resources available on the Web. A traditional characteristic of IR …