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07/14/2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Machine learning algorithms have become ubiquitous in a number of applic...
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07/10/2023
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Large Language Models (LLMs) have revolutionized natural language proces...
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07/05/2023
Generative Job Recommendations with Large Language Model
The rapid development of online recruitment services has encouraged the ...
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07/03/2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
In today's competitive and fast-evolving business environment, it is a c...
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05/31/2023
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field...
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05/18/2023
Preference or Intent? Double Disentangled Collaborative Filtering
People usually have different intents for choosing items, while their pr...
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05/18/2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Recent years have witnessed the rapid development of heterogeneous graph...
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04/29/2023
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic
The outbreak of the COVID-19 pandemic has had an unprecedented impact on...
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04/14/2023
The Future of ChatGPT-enabled Labor Market: A Preliminary Study
As a phenomenal large language model, ChatGPT has achieved unparalleled ...
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03/21/2023
A Survey on Causal Inference for Recommendation
Recently, causal inference has attracted increasing attention from resea...
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11/26/2022
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Urban villages (UVs) refer to the underdeveloped informal settlement fal...
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11/19/2022
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling
Understanding determinants of success in academic careers is critically ...
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05/12/2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
Feature selection and instance selection are two important techniques of...
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12/31/2021
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification
Recent years have witnessed the increasing popularity of Location-based ...
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11/11/2021
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Nowadays, Knowledge graphs (KGs) have been playing a pivotal role in AI-...
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10/24/2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
As one of the most popular generative models, Variational Autoencoder (V...
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10/22/2021
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning
The task of image captioning aims to generate captions directly from ima...
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07/12/2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
Real estate appraisal refers to the process of developing an unbiased op...
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05/14/2021
Butterfly-Core Community Search over Labeled Graphs
Community search aims at finding densely connected subgraphs for query v...
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12/30/2020
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks
Accurate and timely air quality and weather predictions are of great imp...
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09/16/2020
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
Job Title Benchmarking (JTB) aims at matching job titles with similar ex...
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08/31/2020
Learning Adaptive Embedding Considering Incremental Class
Class-Incremental Learning (CIL) aims to train a reliable model with the...
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02/28/2020
A Survey on Knowledge Graph-Based Recommender Systems
To solve the information explosion problem and enhance user experience i...
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02/23/2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
The recent development of online recommender systems has a focus on coll...
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11/21/2019
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring – The Winning Solution of the 2017 International Aftershock Detection Contest
Identifying the arrival times of seismic P-phases plays a significant ro...
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11/07/2019
A Comprehensive Survey on Transfer Learning
Transfer learning aims at improving the performance of target learners o...
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06/01/2019
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems
In the area of community question answering (CQA), answer selection and ...
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12/21/2018
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
The wide spread use of online recruitment services has led to informatio...
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10/08/2018
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning
Person-Job Fit is the process of matching the right talent for the right...
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12/08/2017
Collaborative Company Profiling: Insights from an Employee's Perspective
Company profiling is an analytical process to build an indepth understan...
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12/08/2017
Recruitment Market Trend Analysis with Sequential Latent Variable Models
Recruitment market analysis provides valuable understanding of industry-...
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12/06/2017
