Recommender
Systems
(RecSys)
are
essential
tools
in
sectors
like
e-commerce,
entertainment,
and
social
media,
providing
personalized
user
experiences.
Their
impact
is
also
growing
education,
healthcare,
tourism,
transport,
logistics,
enhancing
decision-making
engagement.
Hence,
designing
modern
RecSys
requires
a
multi-disciplinary
approach,
incorporating
machine
learning,
information
retrieval,
human-computer
interaction
(HCI).
This
tutorial
focuses
on
human-centric
design,
emphasizing
both
computational
methods
user-centered
principles.
Participants
will
learn
fundamental
concepts,
advanced
algorithms,
practical
implementation,
with
case
studies
linking
visual
arts
healthcare
applications.
Advances in logistics, operations, and management science book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 342 - 405
Published: Jan. 19, 2024
The
advent
of
Industry
4.0,
characterized
by
the
integration
digital
technologies
into
industrial
processes,
has
ushered
in
a
transformative
era
for
manufacturing
and
beyond.
This
chapter
delves
future
trends
research
directions
that
will
shape
landscape
4.0
coming
years.
One
prominent
trend
is
continued
proliferation
internet
things
(IoT)
its
convergence
with
artificial
intelligence
(AI).
As
IoT
devices
become
more
interconnected
intelligent,
they
enable
real-time
data
analysis,
predictive
maintenance,
adaptive
manufacturing,
fostering
increased
efficiency
cost-effectiveness
across
industries.
Moreover,
rise
edge
computing
set
to
redefine
processing
analytics.
deployment
powerful
resources
closer
source
promises
reduced
latency
enhanced
decision-making
capabilities,
particularly
critical
applications
like
autonomous
remote
robotics.
BIO Web of Conferences,
Journal Year:
2024,
Volume and Issue:
86, P. 01061 - 01061
Published: Jan. 1, 2024
This
empirical
study
on
Industry
5.0
offers
verifiable
proof
of
the
transformational
potential
data-driven
decision
making.
The
validation
choices
as
a
key
component
5.0's
performance
is
shown
by
noteworthy
46.15%
increase
in
outcomes.
fact
that
choice
criteria
are
line
with
pertinent
data
sources
emphasizes
how
important
forming
well-informed
decision-making
processes.
Moreover,
methodical
execution
and
oversight
showcase
pragmatic
significance
methodologies.
evidence
positions
making
cornerstone
for
improving
operational
efficiency,
customer
happiness,
market
share,
solidifying
its
essential
role
industrial
environment
changes.
These
results
herald
an
age
when
data's
revolutionary
drives
progress
providing
compass
companies
trying
to
navigate
complexity
5.0.
Frontiers in artificial intelligence and applications,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 5, 2024
Demographical
reasons
and
the
increasing
demand
for
improved
production
efficiency
are
steering
transformation
within
manufacturing
domain
towards
smart
manufacturing.
This
entails
introducing
artificial
intelligence
(AI),
data
analytics,
automation
to
improve
efficiency,
productivity,
flexibility
of
processes.
With
integration
AI,
there
is
a
shift
from
humans
merely
interacting
with
technology
actively
collaborating
it,
especially
AI-enabled
agents.
brings
changes
in
work
practices
tasks.
Hence,
comprehensive
understanding
phenomenon
becomes
central
design
human-AI
collaboration
that
genuinely
contributes
effective
supports
operators’
well-being.
scoping
review
study
aims
shed
light
evolving
landscape
by
presenting
six
key
concepts
derived
an
analysis
23
academic
papers.
Based
on
findings,
we
propose
framework
offers
initial
basis
collaborative
systems
Qualitative Research Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 5, 2024
Purpose
The
principal
objective
of
the
study
is
to
analyze
influence
ethnicity,
culture
and
collective
intelligence
in
entrepreneurial
creativity,
innovation
marketing
artisanal
beer
Mexico.
Design/methodology/approach
qualitative
data
have
been
gathered
by
conducting
four
workshops
with
twelve
respondents
each
workshop
across
states
Mexico
comprising
City,
Puebla,
Queretaro
Guadalajara.
These
were
held
for
hours
during
pre-lunch
period
over
weekends,
which
was
participated
a
mix
entrepreneurs
consumers.
Findings
Artisanal
entrepreneurship
driven
culture,
frugal
innovations.
Ethnic
products
generate
patriotic
feeling
consumption
social
cause
encourage
artisans
at
grassroots
local
tags.
Results
also
indicate
that
media
crowd
cognition
play
an
important
role
developing
creative
beer.
Research
limitations/implications
This
founded
on
theoretical
maxims
learning
theory
(SCT),
cognitive
creativity.
contextual
interpretation
SCT
explains
socialization
concepts
modelling
emotions
behavior
derive
structural
experiences
as
observed
entrepreneurship.
Practical
implications
Entrepreneurs
can
develop
brand
emotions,
boost
anthropomorphic
feelings
inculcate
sense
nationalism
among
consumers
market
ethnic
brands
consciousness
towards
“Made
Mexico”
products.
Social
face
major
challenge
customer
outreach
enhancing
proximity
values.
hold
strong
image
niche
need
be
stimulated
experience
sharing
through
community
interactions.
Originality/value
research
significantly
contributes
existing
literature
creativity
using
innovative
approach.
International Journal of Computer Integrated Manufacturing,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 24
Published: April 1, 2024
The
emergence
of
3D
printing
technology
has
imbued
the
mass
customization
production
model
with
novel
implications.
Concurrently,
investigations
into
social
manufacturing
(SocialM)
and
collective
intelligence
present
a
fresh
challenge
for
industry
in
their
pursuit
realizing
customized
production.
However,
there
is
still
lack
investigation
on
technical
implementation
application
scenarios
SocialM,
it
hinders
development
SocialM
from
theory
to
industrial
application.
To
mitigate
this
gap,
firstly
five-layer
framework
based
configuration
design-production-service
integrated
factory
established,
together
key
enabling
techniques
that
support
operation
interaction
software
perspective
cyber-physical-social
interconnection
perspective.
Secondly,
running
logic
demonstrated,
starts
order
generation
completion.
Thirdly,
testbed
built,
which
contains
both
physical
hardware
environments,
printed
robotic
arm
used
verify
feasibility
theories
SocialM.
work
paper
provides
solutions
