Huiji Gao

Orcid: 0009-0006-0424-248X

According to our database1, Huiji Gao authored at least 59 papers between 2008 and 2024.

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Bibliography

2024
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning.
CoRR, 2024

Learning to Rank for Maps at Airbnb.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-objective Learning to Rank by Model Distillation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Data-centric AI: Techniques and Future Perspectives.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimizing Airbnb Search Journey with Multi-task Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning To Rank Diversely At Airbnb.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Learning To Rank Diversely.
CoRR, 2022

Generalized Deep Mixed Models.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Deep Natural Language Processing for LinkedIn Search.
CoRR, 2021

Incremental Learning for Personalized Recommender Systems.
CoRR, 2021

Deep Natural Language Processing for LinkedIn Search Systems.
CoRR, 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Deep Search Query Intent Understanding.
CoRR, 2020

Memory-efficient Embedding for Recommendations.
CoRR, 2020

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications.
IEEE Access, 2020

Personalized Query Suggestions.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Natural Language Processing for Search and Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Learning for Search and Recommender Systems in Practice.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Efficient Neural Query Auto Completion.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Incorporating User Feedback into Sequence to Sequence Model Training.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

DeText: A Deep Text Ranking Framework with BERT.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Deep Natural Language Processing for Search Systems.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Deep Natural Language Processing for Search and Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017
Time-Aware Personalized Location Recommendation.
Proceedings of the Encyclopedia of GIS., 2017

2015
Mining Human Mobility in Location-Based Social Networks
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01908-1, 2015

Trust Evolution: Modeling and Its Applications.
IEEE Trans. Knowl. Data Eng., 2015

Discovering Location Information in Social Media.
IEEE Data Eng. Bull., 2015

Addressing the cold-start problem in location recommendation using geo-social correlations.
Data Min. Knowl. Discov., 2015

Content-Aware Point of Interest Recommendation on Location-Based Social Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Personalized POI Recommendation on Location-Based Social Networks.
PhD thesis, 2014

Discriminant Analysis for Unsupervised Feature Selection.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Personalized location recommendation on location-based social networks.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Why Do You Spread This Message? Understanding Users Sentiment in Social Media Campaigns.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Modeling User Attitude toward Controversial Topics in Online Social Media.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Social Spammer Detection with Sentiment Information.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

An efficient privacy preserving location based service system.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Unsupervised sentiment analysis with emotional signals.
Proceedings of the 22nd International World Wide Web Conference, 2013

Exploiting homophily effect for trust prediction.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

ActNeT: Active Learning for Networked Texts in Microblogging.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Unsupervised Feature Selection for Multi-View Data in Social Media.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Context-aware review helpfulness rating prediction.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploring temporal effects for location recommendation on location-based social networks.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploiting Local and Global Social Context for Recommendation.
Proceedings of the IJCAI 2013, 2013

Modeling temporal effects of human mobile behavior on location-based social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Network denoising in social media.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Enriching short text representation in microblog for clustering.
Frontiers Comput. Sci. China, 2012

Maximizing benefits from crowdsourced data.
Comput. Math. Organ. Theory, 2012

mTrust: discerning multi-faceted trust in a connected world.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

eTrust: understanding trust evolution in an online world.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Exploring Social-Historical Ties on Location-Based Social Networks.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

gSCorr: modeling geo-social correlations for new check-ins on location-based social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Harnessing the Crowdsourcing Power of Social Media for Disaster Relief.
IEEE Intell. Syst., 2011

Promoting Coordination for Disaster Relief - From Crowdsourcing to Coordination.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

2010
Faceted Blog Distillation System: Find an in-Depth Blog.
J. Digit. Content Technol. its Appl., 2010

Network quantification despite biased labels.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Discovering Overlapping Groups in Social Media.
Proceedings of the ICDM 2010, 2010

2009
A Study of Faceted Blog Distillation--PRIS at TREC 2009 Blog Track.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

2008
PRIS in TREC 2008 Blog Track.
Proceedings of The Seventeenth Text REtrieval Conference, 2008


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