A vehicle classification method based on machine learning
In this article, we propose a machine learning based fine-grained vehicle classification
method VehiClassNet, which effectively solves the challenges of precise vehicle recognition …
method VehiClassNet, which effectively solves the challenges of precise vehicle recognition …
Probabilistic graph model and neural network perspective of click models for web search
J Liu, Y Wang, J Wang, M Wang, X Chu - Knowledge and Information …, 2024 - Springer
Click behavior is a typical user behavior in the web search. How to capture and model users'
click behavior has always been a common research topic. However, there are few review …
click behavior has always been a common research topic. However, there are few review …
Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce
J Zhou, B Liu, JNAY Hong, K Lee, M Wen - arXiv preprint arXiv …, 2023 - arxiv.org
In the dynamic field of eCommerce, the quality and comprehensiveness of product
descriptions are pivotal for enhancing search visibility and customer engagement. Effective …
descriptions are pivotal for enhancing search visibility and customer engagement. Effective …
A topic relevance-aware click model for web search
L Jianping, W Yingfei, W Jian… - Journal of Intelligent …, 2024 - content.iospress.com
To better understand users' behavior patterns in web search, numerous click models are
proposed to extract the implicit interaction feedback. Most existing click models are heavily …
proposed to extract the implicit interaction feedback. Most existing click models are heavily …
A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback
Interactive search can provide a better experience by incorporating interaction feedback
from the users. This can significantly improve search accuracy as it helps avoid irrelevant …
from the users. This can significantly improve search accuracy as it helps avoid irrelevant …
Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting
The utilization of web search activity for pandemic forecasting has significant implications for
managing disease spread and informing policy decisions. However, web search records …
managing disease spread and informing policy decisions. However, web search records …
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation
The rapid proliferation of e-commerce platforms accentuates the need for advanced search
and retrieval systems to foster a superior user experience. Central to this endeavor is the …
and retrieval systems to foster a superior user experience. Central to this endeavor is the …
Combining text analysis techniques with unsupervised machine learning methodologies for improved software vulnerability management
M Anastasiadis, G Aivatoglou, G Spanos… - … on Cyber Security …, 2022 - ieeexplore.ieee.org
Software vulnerability management constitutes a prominent research area for security
analysts and researchers. One of the main pillars of the software vulnerability management …
analysts and researchers. One of the main pillars of the software vulnerability management …
Improving interactive search with user feedback
J Zhou - 2022 - search.proquest.com
Capturing search users' feedback can improve the interactive search. In search tasks, users
typically generate feedback while browsing the search results. That feedback may include …
typically generate feedback while browsing the search results. That feedback may include …