Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
Review and analysis of machine learning and soft computing approaches for use...IJwest
The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and imprecise nature of human behavior. For the best results of user modelling, one should choose an appropriate way to do it i.e. by selecting the best suitable approach for the desired domain. Machine learning and Soft computing Techniques have the ability to handle the uncertainty and are extensively being used for user modeling purpose. This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior.
An Exploratory Study of Usability Practice from User-Centered Design View: M...Ruby Kuo
The document summarizes an exploratory study on usability practice from a user-centered design perspective in Taiwan's internet industry. Through in-depth interviews with 14 professionals, the study found:
1) Usability knowledge and skills were generally lacking, with most learning through experience rather than formal training.
2) Design methods were typically linear rather than iterative as recommended by user-centered design. Deadlines often took priority over usability.
3) While usability testing and prototyping were acknowledged as helpful, they were seldom used due to schedule and budget constraints. Users tended to be involved primarily to satisfy business goals rather than design goals.
USER EXPERIENCE EVALUATION OF A STUDENT INFORMATION SYSTEMijcsit
Today's academic environment, many students use technology as an integral aspect of their studies; as a
result, higher education (HE) institutions have been compelled to design student information systems (SIS)
that can facilitate students' online learning processes. However, SIS must be aligned with user needs and
should provide a pleasant user experience (UX) that enables students to attain their goals. The current
research looked at how students rated an SIS. The study was based on the responses of 307 students at
Kuwait's College of Business Studies (CBS) provided within a questionnaire. The survey's findings
revealed that students had a generally favourable impression of the SIS, with perceptions of the pragmatic
quality of the system being somewhat higher than the perceptions of hedonic quality. The findings of this
research may be valuable to authorities working to design improved SIS, particularly in terms of the
hedonic system components.
A Theoretical Framework of the Influence of Mobility in Continued Usage Inten...csandit
In the face of fierce competition in the mobile dev
ice market, the only way for smart mobile
device producers to maintain and expand their marke
t share is to design and develop products
that meet users’ expectations. With the increasing
importance of smart mobile devices in
people’s lives, mobility is likely to be a key feat
ure that addresses the needs of mobile phone
users. Therefore, this survey investigates mobility
in four essential aspects: spatiality,
temporality, contextuality, and social fluidity wit
h the purpose of finding mobile device
functions that users value highly. Special attentio
n is paid to how these constructs affect
continued usage intention (CUI) through two interme
diates: user confirmation and user
satisfaction.
The development of information and communication technology (ICT) during the era of the fourth industrial revolution, the impact of the COVID-19 pandemic in 2020, and the government’s call for large-scale social restrictions have led to the emergence of online learning systems (OLS) in higher education. This study develops a measurement model for the success of OLS based on the DeLone & McLean model. Surveys were conducted on a sample of 175 students from domestic and international universities. Data processing used the partial least squares structural equation modeling or PLS-SEM method, and root cause analysis. The results show that platform quality has a positive influence on OLS success, whether mediated by user satisfaction or OLS usage. Social influence has a positive effect on OLS success, mediated by OLS usage. User computer anxiety has a negative effect on OLS success, mediated by user satisfaction. Recommendations to improve OLS success include adjusting internet package rates to make them more affordable, improving signal strength to various locations for better coverage, limiting the number of users in one learning session for more effective OLS, and the need for organizational support in using the right applications.
Declarations of Software Engineering Project Managers Managing Remotely: Prov...Dr. Mustafa Değerli
Declarations of Software Engineering Project Managers Managing Remotely: Provisions for Hybrid Working
Mustafa Degerli
Graduate School of Informatics Middle East Technical University Ankara, Turkey mustafa.degerli@metu.edu.tr
Abstract—Owing to the landscape of the relevant work, software engineering organizations or teams are more prone to implement and benefit from remote working or hybrid working venues. The freshest pandemic brought about farther obligations and chances for organizations to practically experience and test the mode of working remotely. Correspondingly, for a noteworthy number of organizations, the new standard of working embraces remote working applications. Taking into account this actuality, the research has been conducted to comprehend the perspectives of software engineering project managers having experiences of managing remotely. Unambiguously, semi-structured interviews with 27 project managers from different industries were principally conducted to explore and extract the relevant involvements and interpretations. Outcomes revealed that the new standard of working for software development organizations ought to be the hybrid approach. Furthermore, via analyzing the collected pertinent data, foremost affirmations of software engineering project managers have been apprehended and commented on. The conclusions of this work are to be advantageous for relevant project managers, policymakers in software development organizations, and other scholars researching the evolving dynamics of workforce management applications in software engineering organizations.
Keywords—software engineering, project management, workforce management, hybrid working, remote working
The impact of user involvement in software development processnooriasukmaningtyas
In software development process, user can take part in any phase of the process, depending on what model is being applied. Lack of user involvement can result in a poorly designed solution, or even a solution that conflicts with user’s needs. This review paper presents the impact of user involvement in software development process. In this study, different software development processes will be reviewed, show where the user usually gets involved in different models such as: structural (waterfall, Vmodel) and incremental (scrum-extreme programming XP). As each model differs from the other, each of them has a different perspective of where user should take part and where they should not. This can be an asset that helps project managers, and leaders to develop suitable strategies to follow in their projects.
Dashboard settings design in SVARA using user-centred design methodTELKOMNIKA JOURNAL
SVARA is the first Social Media audio application in Indonesia developed by PT. Zamrud Teknologi Khatulistiwa. At present, this application does not have feature settings to display content and other basic settings on the user's side. This situation results in users not having the role to manage the appearance of the dashboard according to their preferences. Settings are done entirely by administrators using scripts and must take APIs with regular PHP scripts. And this is very troublesome. So to give a role to the view of user management, the application needs to be made a dashboard setting feature as a follow-up. Through this paper, the researchers propose designing this dashboard feature using the User-Centered Design (UCD) method. The design results show that this method has a positive correlation with user involvement support in the application development process.
This document discusses a study on the influence of project management practices on the performance of the alcoholic beverage manufacturing sector in Tanzania. Specifically, it examines the influence of project planning, project execution, and project monitoring and evaluation on organizational performance. The study was conducted at Tanzania Breweries Limited using a questionnaire to collect data from 100 respondents. The results found that all three project management practices had a positive and statistically significant influence on organizational performance. Thus, effective project management is important for organizations to achieve their objectives and ensure performance.
The impact of usability in information technology projectsCSITiaesprime
Achieving success in information system and technology (IS/IT) projects is a complex and multifaceted endeavour that has proven difficult. The literature is replete with project failures, but identifying the critical success factors contributing to favourable outcomes remains challenging. The triad of Time-Cost-Quality is widely accepted as key to achieving project success. While time and cost can be quantified and measured, quality is a more complex construct that requires different metrics and measurement approaches. Utilizing the PRISMA Methodology, this study initiated a comprehensive search across literature databases and identified 142 relevant articles pertaining to the specified keywords. A subset of ten articles was deemed suitable for further examination through rigorous screening and eligibility assessments. Notably, a primary finding indicates that despite recognizing usability as a critical element, there is a tendency to neglect usability enhancements due to time and resource constraints. Regarding the influence of usability on project success, the active involvement of end-users emerges as a pivotal factor. Moreover, fostering the enhancement of Human Computer Interaction (HCI) knowledge within the development team is essential. Failure to provide good usability can lead to project failure, undermining user satisfaction and adoption of the technology.
How can User Experience and Business Analysis work well together?User Vision
UX and business analysis – achieving the benefits of a close relationship
Many UX professionals cross paths with business analysts in the course of delivering projects. Both professions define and apply requirements, though typically one leans toward user requirements and the other toward business requirements. However these worlds often converge, especially as more organisations realise the business value of focusing on customers through user research and user-centred design. It is perhaps inevitable that these two professions, increasingly valued for customer-oriented projects, occasionally have overlapping remits which may lead to either internal friction or positive outcomes.
In this session we explore the areas of similarity, difference and potential collaboration in the respective fields of user experience and business analysis.
We will co-present the briefing with Sarah Williams, a senior business analyst and UX practitioner with leading law firm Linklaters who has successfully integrated the fields and evangelised the UX and service design approach for many internal and client-facing projects. Sarah and Chris Rourke from User Vision will discuss the goals and perspectives of the two fields and where the greatest opportunities are for knowledge transfer and co-operation for successful project delivery.
The talk will be especially of interest for UX professionals working alongside BAs, Business Analysts wanting to know more about user experience and service design, or anyone managing teams that have either or both of these important roles.
ITERATIVE AND INCREMENTAL DEVELOPMENT ANALYSIS STUDY OF VOCATIONAL CAREER INF...ijseajournal
Software development process presents various types of models with their corresponding phases required to be accordingly followed in delivery of quality products and projects. Despite the various expertise and skills of systems analysts, designers, and programmers, systems failure is inevitable when a suitable development process model is not followed. This paper focuses on the Iterative and Incremental Development (IID)model and justified its role in the analysis and design software systems. The paper adopted the qualitative research approach that justified and harnessed the relevance of IID in the context of systems analysis and design using the Vocational
Career Information System (VCIS) as a case study. The paper viewed the IID as a change-driven software development process model. The results showed some system specification, functional specification of system and design specifications that can be used in implementing the VCIS using the IID model. Thus, the paper concluded that in systems analysis and design, it is imperative to consider a suitable development process that reflects the engineering mind-set, with heavy emphasis on good analysis and design for quality assurance.
Good a framework for building quality into construction projects part isoenarto soendjaja
The document discusses a framework for building quality into construction projects. It begins by noting that while total quality management (TQM) approaches have been applied in manufacturing, their use in construction has received less attention. The document then reviews existing quality improvement initiatives in construction and identifies limitations. It establishes requirements for an effective quality framework, including addressing the construction process and quality elements. The framework developed incorporates manufacturing improvement methods and includes quality policy, construction process, people/culture, and improvement methods. Guidelines have also been created for implementing quality improvement methods.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Assessing web site usability measurementeSAT Journals
Abstract Web evaluation has been used in decade to validate the web site to see how it performs. When analysing a web site, typical factors to be considered are the way the information is organized and presented, and how to access and navigate the informative structure [1]. Usability evaluations evaluate the ease of use of a web site functions and see either the user can perform their tasks efficiently. This paper review existing usability standards and models in determining an appropriate model for evaluating the usability of web site. Previous research are reviewed and comparison and analysis of existing usability model and identification of usability criteria and characteristics for web site is made to identify the attribute or characteristic that should be used in evaluating web site.This study proposed an extension of the QUIM model as a basic model for usability model for a web site. Therefore, a set of guidelines to assist in determining design and usability Keywords: web site usability, usability model, usability attributes, QUIM model.
Keerthi Thomas is a PhD student at the Open University, supervised by Prof. Bashar Nuseibeh, Dr. Arosha Bandara, and Mr. Blaine Price. Her research focuses on eliciting and analyzing users' privacy requirements for mobile applications. Previous work has shown privacy requirements vary based on users' changing contexts. However, most existing approaches do not address challenges of understanding privacy needs for mobile apps. Thomas proposes a systematic approach using a user-centric model combining contextual and interaction data to capture how privacy requirements are "distilled" from empirical studies of mobile social networking app users.
MOBILE APPLICATION FOR COLLEGE EVENT MANAGEMENTIRJET Journal
This document reviews 18 previous research papers on developing mobile applications for college event management. It discusses papers focused on developing apps using technologies like Flutter and Firebase to help organize events, communicate details to students, and allow online registration. Some papers described additional features like integration of college clubs, online feedback forms, and analytics of past events. However, many papers noted limitations like lack of security in authentication, inability to access information across colleges, and missing features like tracking event attendees.
(Crestani et al., 2004) The proliferation of mobile devices and thMargaritoWhitt221
The document discusses several papers related to research in the field of mobile human-computer interaction (mobile HCI). The first paper discusses the International Workshop on Mobile and Ubiquitous Information Access that was held in 2003 in Italy and covered topics like interface design, interaction techniques, context-aware applications and implications of mobile computing. The second paper discusses a study that analyzed how often and for how long users look at their mobile devices on average. The third paper discusses the Mobile HCI 2004 conference that established mobile HCI as a central research area and impacted how the field is conducted today.
Analysis of the User Acceptance for Implementing ISO/IEC 27001:2005 in Turkis...IJMIT JOURNAL
This study aims to develop a model for the user acceptance for implementing the information security standard (i.e. ISO 27001) in Turkish public organizations. The results of the surveys performed in Turkey reveal that the legislation on information security public which organizations have to obey is significantly related with the user acceptance during ISO 27001 implementation process. The fundamental components of our user acceptance model are perceived usefulness, attitude towards use, social norms, and performance expectancy.
Recommendation System for Information Services Adapted, Over Terrestrial Digi...CSEIJJournal
The development of digital television in Colombia has grown in last year’s, specially the digital terrestrial
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distribution and use of the television network and Internet in the country. This article explains how joining
different technologies like social networks, information adaptation and DTT, to get an application that
offers information services to users, based on their data, preferences, inclinations, use and interaction with
others users and groups inside the network.
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8. “USER MODELING” NOTION INTRODUCED
Pioneering work by Allen, Cohen, Perrault, and Rich
[Perrault et al., 1978; Cohen and Perrault, 1979; Rich, 1979]
set the stage for the research in this field.
In these early models, there is no distinct
separation between the components used for
user modeling and those used for other functions
[Sleeman, 1985; Allgayer et al., 1989; Wahlster and Kobsa, 1989].
1970s
[Purificato et al., 2024, §1.1]
9. STEREOTYPE USER MODELING
Constituted the first attempt to differentiate
a user from other users [Rich, 1979]
and inspired several future contributions
[Ardissono and Sestero, 1995; Krulwich, 1997].
1970s
[Purificato et al., 2024, §1.1]
10. GENERIC USER MODELING SYSTEMS
GUMS operate as independent components
within a system during runtime [Finin and Drager, 1986].
Primary GUMS established the foundation for
fundamental systems, such as UMT [Brajnik and Tasso, 1994],
TAGUS [Paiva and Self, 1994], BGP-MS [Kobsa and Pohl, 1994],
Doppelänger [Orwant, 1994], and the Um toolkit [Kay, 1995].
1980s
[Purificato et al., 2024, §1.1]
11. USER MODELING SHELL SYSTEMS
Usually considered equivalent to GUMS,
they are introduced to support complex reasoning
about a user (especially in domains where
characteristics are clearly identified) with
the aim to be broadly adaptable [Kobsa, 1990].
1980s
[Purificato et al., 2024, §1.1]
12. USER MODELING FOR
WEB PERSONALIZATION
The involvement of user modelling is crucial for
the advent of personalization and the transition from
anonymous mass marketing and sales to individualized
one-to-one marketing approaches on the Internet
[Peppers and Rogers, 1993; Caglayan et al., 1997; Konstan et al., 1997;
Fink and Kobsa, 2000; Kay et al., 2002; Brusilovsky, 2004].
1990s
[Purificato et al., 2024, §1.1]
13. COMMERCIAL USER MODELING SERVERS
They maintain a user model as a centralized
repository, shared across several applications
through a flexible client-server architecture
[Kobsa, 2001; Kay et al., 2002; Trella et al., 2003; Fink, 2004;
Brusilovsky, 2004; Kobsa and Fink, 2006; Kobsa, 2007].
1990s
[Purificato et al., 2024, §1.1]
14. ADAPTIVE HYPERMEDIA
Intersection of hypermedia systems [Kobsa et al., 2001]
and adaptive user interfaces [Langley, 1999].
Adaptive hypermedia [Brusilovsky et al., 1998; Brusilovsky, 2001]
tailored what the user is offered based on a model of
the user’s goals, preferences, and knowledge.
[De Bra et al., 1999; Brusilovsky and Maybury, 2002].
2000s
[Purificato et al., 2024, §1.1]
15. ONTOLOGY-BASED USER MODELING
The advent of the semantic web prompted
investigations into representing and
modeling user preferences through ontologies,
employed to semantically organize
and connect user profiles
[Middleton et al., 2004; Mehta et al., 2005; Sieg et al., 2007;
De Luca et al., 2010; Sosnovsky and Dicheva, 2010].
2000s
[Purificato et al., 2024, §1.1]
16. EXPERT FINDING AND EXPERT PROFILING
These tracks within the Enterprise Track at
TREC 2005 [Craswell et al., 2005] constitutes a significant
turning point in user modeling and profiling research.
Advent of expertise retrieval research area [Balog et al., 2007].
2000s
[Purificato et al., 2024, §1.1]
17. RISE OF BEHAVIOR MODELING
Emphasis on personalization in various digital services,
particularly in recommenders, where researchers
developed advanced algorithms to analyze user behavior
and preferences for improved content personalization
[Abel et al., 2011; Lakiotaki et al., 2011;
Masthoff, 2011; Konstan and Riedl, 2012].
2010-2015
[Purificato et al., 2024, §1.1]
18. CONTEXT-AWARE USER MODELING
Aim to understand how user preferences and
behaviors change in different contexts.
This included factors such as location, time, and device,
leading to more adaptive and responsive system
[Adomavicius and Tuzhilin, 2011; Verbert et al., 2012;
Said et al., 2013; Codina et al., 2015].
2010-2015
[Purificato et al., 2024, §1.1]
19. DATA MINING APPROACHES
The ascent of big data drove the investigation of
advanced data mining techniques for user modeling
[Romero and Ventura, 2013; D’Oca and Hong, 2014;
van Dam and van de Velden, 2015].
2010-2015
[Purificato et al., 2024, §1.1]
20. MACHINE LEARNING AND
DEEP LEARNING APPROACHES
Large datasets have witnessed the application of
ML algorithms [Mercado et al., 2016; Shin, 2016;
Krishnan and Kamath, 2017; Lin et al., 2019]
and DL models [Gu et al., 2020; Wen et al., 2021;
Li et al., 2022; Wei et al., 2022] to unveil meaningful
patterns into user behaviors and automatically
learn user representations from raw data.
2016-2024
[Purificato et al., 2024, §1.1]
21. MULTIMODAL USER MODELS
These models aim to attain a comprehensive
understanding of user preferences and behaviors
by integrating information from various modalities
[Saevanee et al., 2015; Farseev et al., 2015; Guo et al., 2018].
2016-2024
[Purificato et al., 2024, §1.1]
22. ETHICAL CONSIDERATIONS AND
BEYOND-ACCURACY APPROACHES
Recent years have seen increasing needs
for privacy [Wu et al., 2021; Raber and Krüger, 2022; Liu et al., 2023],
transparency [Balog et al., 2019; Huang et al., 2019; Guesmi et al., 2022],
equity and fairness [Dai and Wang, 2021; Purificato et al., 2022;
Zheng et al., 2022; Abdelrazek et al., 2023; Celikok et al., 2023].
2016-2024
[Purificato et al., 2024, §1.1]
24. A representation of the preferences of any individual
user; roughly, it is a structured representation of the
user’s needs through which a retrieval system should,
e.g., act upon one or more goals based on that profile
and autonomously, pursuing the goals posed by the use.
[Amato and Straccia, 1999]
US E R PR O F I L E
The procedure for gathering information on the
user’s interest; the system utilizes such information to
tailor services and improve the user’s satisfaction.
[Kanoje et al., 2015]
US E R PR O F I L E
[Purificato et al., 2024, §2]
25. A representation of information about an
individual user that is essential for an adaptive
system to provide the adaptation effect.
[Brusilovsky et al., 2007]
US E R MO D E L
A data structure that is used to capture specific
characteristics about an individual user.
[Piao and Breslin, 2018]
US E R MO D E L
[Purificato et al., 2024, §2]
26. The process of acquiring, extracting,
and representing the features of users.
[Zhou et al., 2012]
US E R PR O F I L I N G US E R PR O F I L I N G
The process of inferring an individual’s interests,
personality traits, or behaviors from generated data
to create an efficient user representation, which
is exploited by adaptive and personalized systems.
[Eke et al., 2019]
[Purificato et al., 2024, §2]
27. US E R PR O F I L I N G
The process of automatically converting user information
into a predefined and interpretable format that reflects the
most important aspects of the user’s profile, which are
useful for further decision-making in practical applications.
[Vo et al., 2021]
US E R MO D E L I N G
The process of gathering information about a user’s
interests, constructing, maintaining, and using user profiles.
[Farid et al., 2018]
[Purificato et al., 2024, §2]
28. The process of building up and modifying a
conceptual understanding of the user. Its task is to
learn a latent representation for each user, with the
help of items and item features, with applications to
response prediction, recommendation, and other.
[Li and Zhao, 2020]
US E R PR O F I L E MO D E L I N G
The process that constitutes the methodology for
building a user profile; it requires two steps to
describe: “what” has to be represented, and
“how” this information is effectively represented.
[Amato and Straccia, 1999]
US E R MO D E L I N G
[Purificato et al., 2024, §2]
29. A user model (or user profile) is a structured
representation of an individual user’s
preferences, needs, behaviors, and demographic
details to personalize system interactions.
It is derived from direct user feedback or
inferred through machine learning and data
mining techniques. It supports the predictions of
future user intentions and the refinement of
systems response to enhance user satisfaction.
User models are often instrumental in optimizing
the relevance and efficiency of adaptive
systems, ensuring that user interactions are
aligned with individual needs and preferences.
[Purificato et al., 2024]
NOV E L DE F I N I T I O N S
[Purificato et al., 2024, §2]
30. NOV E L DE F I N I T I O N S
User modeling (or user profiling) is the process of
acquiring, extracting, and representing user features
and personal characteristics to build accurate user
models (or user profiles).
It encompasses inferring personality traits and
behaviors from user-generated data. This dynamic
practice includes automatically converting user
information into interpretable formats, capturing latent
interests, and learning conceptual user representations.
Essentially, user modeling constitutes the methodology
for building and modifying user models, determining
“what” to represent and “how” to effectively represent
this information for adaptive and personalized systems.
[Purificato et al., 2024]
[Purificato et al., 2024, §2]
32. EXPLICIT USER MODELING
Also known as static or factual modeling,
required direct input from the user,
such as filling out a questionnaire or
completing an online form.
[Purificato et al., 2024, §3]
33. IMPLICIT USER MODELING
Initially used together with explicit methods,
modern systems shifted to passive collection and
analysis of dynamic user data, thus called
behavioral and adaptive modeling.
Static data still used by exploiting information
previously shared (e.g., social network accounts)
defining the novel pseudo-explicit user modeling.
[Purificato et al., 2024, §3]
34. DIRECT USER PREFERENCES
Traditionally, user preferences
and interests have been modelled
using explicit and direct feedback.
[Purificato et al., 2024, §3]
35. INDIRECT USER PREFERENCES
Everyday use of digital platforms and
reluctance of users in providing direct
feedback led to a growing emphasis on
capturing an individual’s preferences and
interests hidden in users’ historical behaviors.
[Purificato et al., 2024, §3]
36. USER
BEHAVIORAL
MODELING
MULTI-BEHAVIOR MODELING
Integrates various forms of user
interactions with items, rather than
relying on a single type of interaction.
MICRO AND MACRO
BEHAVIORAL MODELING
Respectively, the immediate actions that
a user takes reflecting short-term
preferences, and large-scale actions that
reflect a user’s long-term commitment.
SEQUENTIAL BEHAVIOR MODELING
Considers the order and timing of user actions
as influential for modifying user interests.
HIERARCHICAL USER PROFILING
Models users’ real-time interests at
various levels of granularity.
MOBILE USER PROFILING
Involves discerning users’ interests
and behavioral patterns based on
their activities on mobile devices.
[Purificato et al., 2024, §3]
37. SPECIFIC USER
REPRESENTATION
Scarcity of studies on generalized
user model representation.
Researchers tend to focus on
specific aspects of user modeling
rather than a holistic approach.
[Purificato et al., 2024, §3]
38. UNIVERSAL USER
REPRESENTATION
Create a unified and generalized
profile of a user by encapsulating
a broad spectrum of user behaviors
and preferences without bias toward
any specific task.
[Purificato et al., 2024, §3]
39. HOLISTIC USER MODELING
Integrates diverse and heterogeneous
personal data sources to construct a
comprehensive user representation.
[Purificato et al., 2024, §3]
40. GRAPH
DATA
STRUCTURES
KNOWLEDGE GRAPHS
Specific type of graph structure that
effectively represents complex information
by accumulating and conveying knowledge
of the real world, making them particularly
useful in several contexts.
GRAPH STRUCTURES
In the context of user modeling, graph
structures can be used to represent user
behavior, preferences, and interactions by
leveraging nodes and edges as, respectively,
the users and the relationships among them.
[Purificato et al., 2024, §3]
41. DEEP
LEARNING
These models have significantly
contributed to advancements in user
modeling research field, enabling more
accurate and comprehensive profiling
and prediction of user behavior.
Attention
Mechanism
Convolutional
Neural Networks
Autoencoders
Graph Neural
Networks
Recurrent
Neural Networks
Transformers
Long-Short
Term Memory
[Purificato et al., 2024, §3]
42. STANDARD APPLICATIONS
Versatile and valuable approaches
in many fields, particularly where
user-specific services are crucial, e.g.:
o Recommender Systems; ;
o E-commerce and Marketing;
o User Interface Adaptation. .
[Purificato et al., 2024, §3]
43. CONTEMPORARY APPLICATIONS
Innovative approaches applied in
various important research fields to
tackle state-of-the-art challenges, e.g.:
o Fake news detections;
o Social Network analysis;
o Cybersecurity.
[Purificato et al., 2024, §3]
44. BEYOND-
ACCURACY
PERSPECTIVES
Similar to the transformation observed in deep learning,
the incorporation of advanced techniques extending
beyond mere accuracy marks a significant global shift
in various domains, including user modeling. These
approaches prioritize fundamental values for humans,
e.g., privacy, fairness, and transparency.
[Purificato et al., 2024, §3]
45. Special Issue
“User Perspectives in
Human-Centered
Artificial Intelligence”
International Journal of
Human-Computer Studies (Q1)
Call for papers
Submission deadline:
November 18, 2024
46. CONTACTS
Erasmo Purificato
erasm o. p urificat o@ acm .org
Ludovico Boratto
ludo vico.b orat t o@ acm .o rg
Ernesto W. De Luca
ern est o. deluca@ ovgu.de
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