Machine learning in marketing: A literature review, conceptual framework, and research agenda
EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …
considerable attention in different industry sectors, including marketing. ML and AI hold …
A systematic review of recommender systems and their applications in cybersecurity
This paper discusses the valuable role recommender systems may play in cybersecurity.
First, a comprehensive presentation of recommender system types is presented, as well as …
First, a comprehensive presentation of recommender system types is presented, as well as …
Modeling and applying implicit dormant features for recommendation via clustering and deep factorization
A Kutlimuratov, AB Abdusalomov, R Oteniyazov… - Sensors, 2022 - mdpi.com
E-commerce systems experience poor quality of performance when the number of records in
the customer database increases due to the gradual growth of customers and products …
the customer database increases due to the gradual growth of customers and products …
Camus: attribute-aware counterfactual augmentation for minority users in recommendation
Embedding-based methods currently achieved impressive success in recommender
systems. However, such methods are more likely to suffer from bias in data distribution …
systems. However, such methods are more likely to suffer from bias in data distribution …
Harnessing heterogeneous social networks for better recommendations: A grey relational analysis approach
L Weng, Q Zhang, Z Lin, L Wu - Expert Systems with Applications, 2021 - Elsevier
Most of the extant studies in social recommender system are based on explicit social
relationships, while the potential of implicit relationships in the heterogeneous social …
relationships, while the potential of implicit relationships in the heterogeneous social …
Recent developments in recommender systems: A survey
In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …
comprehensively summarized. The objective of this study is to provide an overview of the …
Multichannel consumer service integration of recommendation systems
K Wadhwani, V Jain - Customer Centric Support Services in the Digital …, 2023 - Springer
Recommendations play a vital role in the purchase stage and empower customers by
helping them decide. Companies employ recommendation systems (RS) which help predict …
helping them decide. Companies employ recommendation systems (RS) which help predict …
Survey on collaborative and content-based recommendation systems
In recent times information available on Internet is growing at the exponential rate. This
makes searching correct information very difficult and it is challenging to perform the same …
makes searching correct information very difficult and it is challenging to perform the same …
Dijital platform üyeliklerinin devamlılığına etki eden faktörler: Netflix örneği
Günümüzde bireyler gelişen teknoloji ile birlikte normal TV programlarının yanı sıra, dijital
platformların sunmuş oldukları yayın ortamlarını da sıklıkla kullanmaktadırlar. Video akış …
platformların sunmuş oldukları yayın ortamlarını da sıklıkla kullanmaktadırlar. Video akış …
Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems.
AFR Abadi, J Mohammadzadeh - Journal of Applied …, 2023 - search.ebscohost.com
With the exponentially increasing volume of online data, searching and finding required
information have become an extensive and time-consuming task. Recommender systems as …
information have become an extensive and time-consuming task. Recommender systems as …