Explainable causal variational autoencoders based equivariant graph neural networks for analyzing the consumer purchase behavior in E-commerce
Engineering Applications of Artificial Intelligence,
Год журнала:
2024,
Номер
136, С. 108988 - 108988
Опубликована: Июль 23, 2024
Язык: Английский
Quantum-inspired language models based on unitary transformation
Information Processing & Management,
Год журнала:
2024,
Номер
61(4), С. 103741 - 103741
Опубликована: Апрель 8, 2024
Язык: Английский
Quantum social network analysis: Methodology, implementation, challenges, and future directions
Information Fusion,
Год журнала:
2024,
Номер
unknown, С. 102808 - 102808
Опубликована: Ноя. 1, 2024
Язык: Английский
Dynamic customer behavior prediction in subscription services using causal reinforcement learning
Engineering Applications of Artificial Intelligence,
Год журнала:
2025,
Номер
155, С. 111030 - 111030
Опубликована: Май 14, 2025
Язык: Английский
A hybrid machine learning and three-way soft clustering integrated decision-making method with incomplete multi-source heterogeneous attribute information
International Journal of Approximate Reasoning,
Год журнала:
2025,
Номер
unknown, С. 109491 - 109491
Опубликована: Июнь 1, 2025
Язык: Английский
A data-driven construction method of aggregated value chain in three phases for manufacturing enterprises
Computers & Industrial Engineering,
Год журнала:
2024,
Номер
189, С. 109964 - 109964
Опубликована: Фев. 8, 2024
Язык: Английский
Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions
Forecasting,
Год журнала:
2024,
Номер
6(3), С. 502 - 532
Опубликована: Июль 5, 2024
In
a
dynamic
business
environment,
the
accuracy
of
sales
forecasts
plays
pivotal
role
in
strategic
decision
making
and
resource
allocation.
This
article
offers
systematic
review
existing
literature
on
techniques
methodologies
used
forecasting,
especially
forecasting
across
various
domains,
aiming
to
provide
nuanced
understanding
field.
Our
study
examines
from
2013
2023,
identifying
key
their
evolution
over
time.
The
methodology
involves
detailed
analysis
516
articles,
categorized
into
classical
qualitative
approaches,
traditional
statistical
methods,
machine
learning
models,
deep
techniques,
hybrid
approaches.
results
highlight
significant
shift
towards
advanced
with
experiencing
an
explosive
increase
adoption.
popularity
these
models
has
surged,
as
evidenced
by
rise
10
articles
110
2023.
growth
underscores
growing
prominence
effectiveness
handling
complex
time
series
data.
Additionally,
we
explore
challenges
limitations
that
influence
accuracy,
focusing
market
structures
benefits
extensive
data
availability.
Язык: Английский
Analysis of Product Sales Volume and Pricing Based on Multivariate Linear Regression Model and Time Series Forecasting Algorithm
Опубликована: Авг. 29, 2024
Язык: Английский
Quantum Leap in Customer Persona Development
Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 133 - 156
Опубликована: Дек. 13, 2024
Quantum
Artificial
Intelligence
offers
a
new
avenue
in
enhancing
customer
personas
through
the
combination
of
quantum
computing
and
AI
to
process
large
files
parallel
computing.
This
chapter
describes
how
QAI
enables
real-time
updates
profiles
real
synchrony
with
dynamic
behaviors,
preferences,
practices.
machine
learning
enhances
both
sentiment
analysis
predictive
modeling
help
natural
language
processing,
which
high
personalized
experiences
for
businesses.
QAI's
ability
analyse
volumes
data
improves
strategies
marketing
better
segmentation,
improvement
areas
recommendation
engines,
accurate
predictions
about
consumer
behavior.
showcases
transformative
potential
empowering
task
data-driven
providing
relations
customers
that
drives
age
Integration
persona
development
will
companies
achieve
higher
satisfaction
loyalty
evolving
digital
marketplace.
Язык: Английский