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- research-articleApril 2024JUST ACCEPTED
A Survey on Trustworthy Recommender Systems
- Yingqiang Ge,
- Shuchang Liu,
- Zuohui Fu,
- Juntao Tan,
- Zelong Li,
- Shuyuan Xu,
- Yunqi Li,
- Yikun Xian,
- Yongfeng Zhang
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely deployed in almost every corner of the web and facilitate the human decision-making process. However, despite their enormous capabilities and potential, RS may also lead ...
- research-articleOctober 2021
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge ManagementPages 494–503https://doi.org/10.1145/3459637.3482461Recent conversational recommender systems (CRS) provide a promising solution to accurately capture a user's preferences by communicating with users in natural language to interactively guide them while pro-actively eliciting their current interests. ...
- research-articleSeptember 2021
EX3: Explainable Attribute-aware Item-set Recommendations
- Yikun Xian,
- Tong Zhao,
- Jin Li,
- Jim Chan,
- Andrey Kan,
- Jun Ma,
- Xin Luna Dong,
- Christos Faloutsos,
- George Karypis,
- S. Muthukrishnan,
- Yongfeng Zhang
RecSys '21: Proceedings of the 15th ACM Conference on Recommender SystemsPages 484–494https://doi.org/10.1145/3460231.3474240Existing recommender systems in the e-commerce domain primarily focus on generating a set of relevant items as recommendations; however, few existing systems utilize underlying item attributes as a key organizing principle in presenting recommendations ...
- research-articleAugust 2021
EXACTA: Explainable Column Annotation
- Yikun Xian,
- Handong Zhao,
- Tak Yeon Lee,
- Sungchul Kim,
- Ryan Rossi,
- Zuohui Fu,
- Gerard de Melo,
- S. Muthukrishnan
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data MiningPages 3775–3785https://doi.org/10.1145/3447548.3467211Column annotation, the process of annotating tabular columns with labels, plays a fundamental role in digital marketing data governance. It has a direct impact on how customers manage their data and facilitates compliance with regulations, restrictions, ...
- short-paperJuly 2021
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation
SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 2415–2421https://doi.org/10.1145/3404835.3463247There is increasing recognition of the need for human-centered AI that learns from human feedback. However, most current AI systems focus more on the model design, but less on human participation as part of the pipeline. In this work, we propose a Human-...
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- tutorialApril 2021
IUI 2021 Tutorial on Conversational Recommendation Systems
IUI '21 Companion: Companion Proceedings of the 26th International Conference on Intelligent User InterfacesPages 1–2https://doi.org/10.1145/3397482.3450621Recent years have witnessed the emerging of conversational systems, including both physical devices and mobile-based applications. Both the research community and industry believe that conversational systems will have a major impact on human-computer ...
- research-articleMarch 2021
Towards Long-term Fairness in Recommendation
- Yingqiang Ge,
- Shuchang Liu,
- Ruoyuan Gao,
- Yikun Xian,
- Yunqi Li,
- Xiangyu Zhao,
- Changhua Pei,
- Fei Sun,
- Junfeng Ge,
- Wenwu Ou,
- Yongfeng Zhang
WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data MiningPages 445–453https://doi.org/10.1145/3437963.3441824As Recommender Systems (RS) influence more and more people in their daily life, the issue of fairness in recommendation is becoming more and more important. Most of the prior approaches to fairness-aware recommendation have been situated in a static or ...
- tutorialMarch 2021
WSDM 2021 Tutorial on Conversational Recommendation Systems
WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data MiningPages 1134–1136https://doi.org/10.1145/3437963.3441661Recent years have witnessed the emerging of conversational systems, including both physical devices and mobile-based applications. Both the research community and industry believe that conversational systems will have a major impact on human-computer ...
- doctoral_thesisJanuary 2021
Neural Graph Reasoning for Explainable Decision-Making
AbstractResearchers have been seeking to develop intelligent systems with the ability to behave like humans by autonomously making accurate and reasonable decisions for real-world tasks. It now becomes imaginable and achievable with the help of advanced ...
- research-articleDecember 2020
MIMU: Mobile WiFi Usage Inference by Mining Diverse User Behaviors
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 4, Issue 4Article No.: 149, Pages 1–22https://doi.org/10.1145/3432226Mobile WiFi is a newly emerging service in recent years, which provides convenience for users to access online resources and increases revenues for operators via services such as advertisements and application promotions. However, in practice, the ...
- research-articleOctober 2020
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
- Yikun Xian,
- Zuohui Fu,
- Handong Zhao,
- Yingqiang Ge,
- Xu Chen,
- Qiaoying Huang,
- Shijie Geng,
- Zhou Qin,
- Gerard de Melo,
- S. Muthukrishnan,
- Yongfeng Zhang
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementPages 1645–1654https://doi.org/10.1145/3340531.3412038Recent research explores incorporating knowledge graphs (KG) into e-commerce recommender systems, not only to achieve better recommendation performance, but more importantly to generate explanations of why particular decisions are made. This can be ...
- ArticleOctober 2020
Enhanced MRI Reconstruction Network Using Neural Architecture Search
AbstractThe accurate reconstruction of under-sampled magnetic resonance imaging (MRI) data using modern deep learning technology, requires significant effort to design the necessary complex neural network architectures. The cascaded network architecture ...
- tutorialSeptember 2020
Tutorial on Conversational Recommendation Systems
RecSys '20: Proceedings of the 14th ACM Conference on Recommender SystemsPages 751–753https://doi.org/10.1145/3383313.3411548Recent years have witnessed the emerging of conversational systems, including both physical devices and mobile-based applications. Both the research community and industry believe that conversational systems will have a major impact on human-computer ...
- research-articleJuly 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
- Zuohui Fu,
- Yikun Xian,
- Ruoyuan Gao,
- Jieyu Zhao,
- Qiaoying Huang,
- Yingqiang Ge,
- Shuyuan Xu,
- Shijie Geng,
- Chirag Shah,
- Yongfeng Zhang,
- Gerard de Melo
SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information RetrievalPages 69–78https://doi.org/10.1145/3397271.3401051There has been growing attention on fairness considerations recently, especially in the context of intelligent decision making systems. For example, explainable recommendation systems may suffer from both explanation bias and performance disparity. We ...
- posterNovember 2019
A neural networks based caching scheme for mobile edge networks: poster abstract
SenSys '19: Proceedings of the 17th Conference on Embedded Networked Sensor SystemsPages 408–409https://doi.org/10.1145/3356250.3361961Mobile edge networks are pervasive now due to the ubiquitous 4G networks and coming 5G networks, broad edge computing applications are enabled in the meantime, such as mobile bus WiFi. In this paper, we focus on the caching problem in the mobile edge ...
- research-articleJuly 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information RetrievalPages 285–294https://doi.org/10.1145/3331184.3331203Recent advances in personalized recommendation have sparked great interest in the exploitation of rich structured information provided by knowledge graphs. Unlike most existing approaches that only focus on leveraging knowledge graphs for more accurate ...
- research-articleApril 2018
Finding Subcube Heavy Hitters in Analytics Data Streams
WWW '18: Proceedings of the 2018 World Wide Web ConferencePages 1705–1714https://doi.org/10.1145/3178876.3186082Modern data streams typically have high dimensionality. For example, digital analytics streams consist of user online activities (e.g., web browsing activity, commercial site activity, apps and social behavior, and response to ads). An important problem ...
- research-articleMarch 2018
TSCSet: A Crowdsourced Time-Sync Comment Dataset for Exploration of User Experience Improvement
IUI '18: Proceedings of the 23rd International Conference on Intelligent User InterfacesPages 641–652https://doi.org/10.1145/3172944.3172966Time-Sync Comment (TSC) is a type of crowdsourced user review embedded in online video websites, which provides better real-time user interaction than traditional user comment type. Various TSC-related problems and approaches have been studied to improve ...
- research-articleJune 2015
Video Highlight Shot Extraction with Time-Sync Comment
HOTPOST '15: Proceedings of the 7th International Workshop on Hot Topics in Planet-scale mObile computing and online Social neTworkingPages 31–36https://doi.org/10.1145/2757513.2757516Benefit from abundance of mobile applications, portability of large-screen mobile devices and accessibility of media resources, users nowadays much more prefer to watch videos on their mobiles no matter whether they are at home or on the way. However, ...
- ArticleMarch 2023
An Approach for In-Database Scoring of R Models on DB2 for z/OS
AbstractBusiness Analytics is comprehensively used in many enterprises with large scale of data from databases and analytics tools like R. However, isolation between database and data analysis tool increases the complexity of business analytics, for it ...