Live streaming meets online shopping in the connected world: interactive social video in online marketplace

RC Ho, KG Rajadurai - Strategies and tools for managing connected …, 2020 - igi-global.com
With the increased usage of live stream video, this chapter examined consumer product
learning process in using it as a platform to shop online. Live stream video has been utilized …

Recommendation system design for social media using reinforcement learning

X Gao, M Qiu - 2022 IEEE 9th International Conference on …, 2022 - ieeexplore.ieee.org
Recommendation System plays an important role in capturing consumers' preference. In
order to better utilize the effectiveness of the recommendation system, many social media …

Comprehensive three-layer trust management model for public cloud environment

V Kumar, P Pradhan - International Journal of Business …, 2018 - inderscienceonline.com
Public cloud offerings are gaining a lot of popularity as they offer consistent savings to the
users by their pay-as-you-go model. Parties involved in public cloud transactions may be …

ANN based ranking algorithm for products on E-commerce website

A Parashar, E Gupta - 2017 Third International Conference on …, 2017 - ieeexplore.ieee.org
ANN is a widely used technology in computing world and there are number of areas where it
is applicable. E-Commerce sector is also a kind of an area where ANN based algorithms …

Recommendation systems for community commerce

S Kayande, P Darekar, Y Bhajbhuje… - Mathematical …, 2022 - philstat.org
Recommendation systems have become very important for any application nowadays. In
this paper, we have researched many such state-of-the-art techniques in the field of …

Enhance the Quality of Recommendation System in E-Commerce Application

V Kumar, V Pal, U Vashisth… - … and Networking (CICTN), 2023 - ieeexplore.ieee.org
The recent trend of shopping has largely shifted towards online platforms. The future of
online shopping to fulfil our needs looks promising since the internet is reaching to every …

Brand Propensity Prediction with Click-Through Rate as a Target

A Uzel, K Pekel, F Abut, F Akay - Kocaeli Journal of Science and …, 2022 - dergipark.org.tr
Personalizing the e-commerce experience is vital since there are enormous amounts of
products to offer customers. Each day new products are introduced into the ecosystem, and …

[PDF][PDF] An item-oriented algorithm on cold-start problem in recommendation system

M Daoud, SK Naqvi, T Siddiqi - International Journal of Computer …, 2015 - Citeseer
Recommending new items is an important, yet challenging problem due to the lack of
preference history for the new items. To handle this problem, the existing system uses the …

Bag of Science: A Query Structuring and Processing Model for Recommendation Systems

P Hegade, V Hegde, S Jain, RM Joshi… - Advances in Computing …, 2021 - Springer
Technological advancements and the changing needs drive the process workflow, meeting
the need-of-the-hour requirements, and calibrating system components. While the …

[PDF][PDF] Collaborative Filtering Recommendation Method and SVD-based Incremental Approach

W Nguyen - 2021 - portfolios.cs.earlham.edu
In recent years, the need for recommender systems as a tool to improve user interaction,
provide personalized services, and enrich shopping potential to raise revenue has been …