Attention-based skill translation models for expert finding
Z Fallahnejad, H Beigy - Expert Systems with Applications, 2022 - Elsevier
The growing popularity of community question answering websites can be seen by the
growing number of users. Many methods are proposed to identify talented users in these …
growing number of users. Many methods are proposed to identify talented users in these …
A deep learning-based expert finding method to retrieve agile software teams from CQAs
Currently, many software companies are looking to assemble a team of experts who can
collaboratively carry out an assigned project in an agile manner. The most ideal members …
collaboratively carry out an assigned project in an agile manner. The most ideal members …
Embedding-based team formation for community question answering
Finding a qualified individual who can independently answer a question on a community
question answering platform is becoming more challenging due to the increasing …
question answering platform is becoming more challenging due to the increasing …
Landslide susceptibility mapping by attentional factorization machines considering feature interactions
Landslide susceptibility mapping (LSM) is a commonly used approach to reduce landslide
risk. However, conventional LSM methods generally only consider the influence of each …
risk. However, conventional LSM methods generally only consider the influence of each …
MATER: Bi-level matching-aggregation model for time-aware expert recommendation
Community question answering (CQA) websites have grown rapidly, but they face a gap
between questions and answerers. This gap causes delays in getting answers and …
between questions and answerers. This gap causes delays in getting answers and …
Context-aware answer selection in community question answering exploiting spatial temporal bidirectional long short-term memory
Community Question Answering (CQA) sites provide knowledge sharing facility as the users
can post questions and other users can share their answers. The selection of top-quality …
can post questions and other users can share their answers. The selection of top-quality …
Understanding and Addressing Gender Bias in Expert Finding Task
M Amendola, C Castillo, A Passarella… - arXiv preprint arXiv …, 2024 - arxiv.org
The Expert Finding (EF) task is critical in community Question&Answer (CQ&A) platforms,
significantly enhancing user engagement by improving answer quality and reducing …
significantly enhancing user engagement by improving answer quality and reducing …
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms
M Amendola, A Passarella, R Perego - arXiv preprint arXiv:2407.04018, 2024 - arxiv.org
Online Community Question Answering (CQA) platforms have become indispensable tools
for users seeking expert solutions to their technical queries. The effectiveness of these …
for users seeking expert solutions to their technical queries. The effectiveness of these …
MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework
Deep learning methods have recently achieved huge success in Click-Through Rate (CTR)
prediction tasks mainly due to the ability to model arbitrary-order feature interactions …
prediction tasks mainly due to the ability to model arbitrary-order feature interactions …
[HTML][HTML] An Effective Ensemble of Deep and Machine Learning Methods for Classifying the Expertise Shape of CQA Users
S Nemati - Journal of Electrical and Computer Engineering …, 2024 - jecei.sru.ac.ir
Background and Objectives: Community question-answering (CQA) websites have become
increasingly popular as platforms for individuals to seek and share knowledge. Identifying …
increasingly popular as platforms for individuals to seek and share knowledge. Identifying …