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- research-articleAugust 2024JUST ACCEPTED
How to Protect of Reader Preference Privacy in Mobile Book Information Services: A Technical Method
Along with the wide popularization of mobile terminal devices such as smart phones, mobile libraries, which provide mobile book information services as the core business, have become an important part of people’s daily life. However, with the rapid ...
- research-articleJuly 2024JUST ACCEPTED
Graph Augmentation Empowered Contrastive Learning for Recommendation
The application of contrastive learning (CL) to collaborative filtering (CF) in recommender systems has achieved remarkable success. CL-based recommendation models mainly focus on creating multiple augmented views by employing different graph augmentation ...
- short-paperJuly 2024
Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2024, Pages 2682–2686https://doi.org/10.1145/3626772.3657934Text classification has long time been researched as a fundamental problem in information retrieval. Since text data are frequently connected with graph structures, it poses new possibilities for a more accurate and explainable classification. One common ...
- research-articleJune 2024
When large language models meet personalization: perspectives of challenges and opportunities
- Jin Chen,
- Zheng Liu,
- Xu Huang,
- Chenwang Wu,
- Qi Liu,
- Gangwei Jiang,
- Yuanhao Pu,
- Yuxuan Lei,
- Xiaolong Chen,
- Xingmei Wang,
- Kai Zheng,
- Defu Lian,
- Enhong Chen
AbstractThe advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved, leading to ...
- research-articleJune 2024
Attacking Social Media via Behavior Poisoning
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 18, Issue 7Article No.: 169, Pages 1–27https://doi.org/10.1145/3654673Since social media such as Facebook and X (formerly known as Twitter) have permeated various aspects of daily life, people have strong incentives to influence information dissemination on these platforms and differentiate their content from the fierce ...
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- research-articleJune 2024
InteractNet: Social Interaction Recognition for Semantic-rich Videos
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 20, Issue 8Article No.: 240, Pages 1–21https://doi.org/10.1145/3663668The overwhelming surge of online video platforms has raised an urgent need for social interaction recognition techniques. Compared with simple short-term actions, long-term social interactions in semantic-rich videos could reflect more complicated ...
- research-articleJune 2024
Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation
ICMR '24: Proceedings of the 2024 International Conference on Multimedia RetrievalMay 2024, Pages 533–542https://doi.org/10.1145/3652583.3658104Recent advancements in Large Language Models~(LLMs) have greatly enhanced the generation capabilities of dialogue systems. However, progress on emotional expression during dialogues might be still limited, especially when capturing and processing the ...
- research-articleMay 2024JUST ACCEPTED
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings
ACM Transactions on Intelligent Systems and Technology (TIST), Just Accepted https://doi.org/10.1145/3660642The field of education has undergone a significant revolution with the advent of intelligent systems and technology, which aim to personalize the learning experience, catering to the unique needs and abilities of individual learners. In this pursuit, a ...
- short-paperMay 2024
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
- Mingyue Cheng,
- Hao Zhang,
- Jiqian Yang,
- Qi Liu,
- Li Li,
- Xin Huang,
- Liwei Song,
- Zhi Li,
- Zhenya Huang,
- Enhong Chen
WWW '24: Companion Proceedings of the ACM on Web Conference 2024May 2024, Pages 1035–1038https://doi.org/10.1145/3589335.3651243Large language model evaluation plays a pivotal role in the enhancement of its capacity. Previously, numerous methods for evaluating large language models have been proposed in this area. Despite their effectiveness, these existing works mainly focus on ...
- research-articleMay 2024
NoteLLM: A Retrievable Large Language Model for Note Recommendation
WWW '24: Companion Proceedings of the ACM on Web Conference 2024May 2024, Pages 170–179https://doi.org/10.1145/3589335.3648314People enjoy sharing "notes" including their experiences within online communities. Therefore, recommending notes aligned with user interests has become a crucial task. Existing online methods only input notes into BERT-based models to generate note ...
- research-articleMay 2024
Large Language Model based Long-tail Query Rewriting in Taobao Search
WWW '24: Companion Proceedings of the ACM on Web Conference 2024May 2024, Pages 20–28https://doi.org/10.1145/3589335.3648298In the realm of e-commerce search, the significance of semantic matching cannot be overstated, as it directly impacts both user experience and company revenue. Along this line, query rewriting, serving as an important technique to bridge the semantic ...
- research-articleMay 2024
Unified Uncertainty Estimation for Cognitive Diagnosis Models
WWW '24: Proceedings of the ACM on Web Conference 2024May 2024, Pages 3545–3554https://doi.org/10.1145/3589334.3645488Cognitive diagnosis models have been widely used in different areas, especially intelligent education, to measure users' proficiency levels on knowledge concepts, based on which users can get personalized instructions. As the measurement is not always ...
- research-articleMay 2024
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing
WWW '24: Proceedings of the ACM on Web Conference 2024May 2024, Pages 1395–1406https://doi.org/10.1145/3589334.3645440Unsupervised semantic hashing has emerged as an indispensable technique for fast image search, which aims to convert images into binary hash codes without relying on labels. Recent advancements in the field demonstrate that employing large-scale ...
- research-articleMay 2024
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
WWW '24: Proceedings of the ACM on Web Conference 2024May 2024, Pages 1986–1997https://doi.org/10.1145/3589334.3645406Knowledge-based question answering (KBQA) is a key task in natural language processing research, and also an approach to access the web data and knowledge, which requires exploiting knowledge graphs (KGs) for reasoning. In the literature, one promising ...
- research-articleMay 2024
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
WWW '24: Proceedings of the ACM on Web Conference 2024May 2024, Pages 3297–3306https://doi.org/10.1145/3589334.3645380In recommendation systems, users frequently engage in multiple types of behaviors, such as clicking, adding to cart, and purchasing. Multi-behavior sequential recommendation aims to jointly consider multiple behaviors to improve the target behavior's ...
- research-articleMay 2024JUST ACCEPTED
Exploiting Instance-level Relationships in Weakly Supervised Text-to-Video Retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Just Accepted https://doi.org/10.1145/3663571Text-to-Video Retrieval is a typical cross-modal retrieval task that has been studied extensively under a conventional supervised setting. Recently, some works have sought to extend the problem to a weakly supervised formulation, which can be more ...
- research-articleApril 2024
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph
ACM Transactions on Information Systems (TOIS), Volume 42, Issue 4Article No.: 110, Pages 1–28https://doi.org/10.1145/3651158Career mobility analysis aims at understanding the occupational movement patterns of talents across distinct labor market entities, which enables a wide range of talent-centered applications, such as job recommendation, labor demand forecasting, and ...
- research-articleApril 2024
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 15, Issue 3Article No.: 45, Pages 1–25https://doi.org/10.1145/3645099The topic of multimodal conversation systems has recently garnered significant attention across various industries, including travel and retail, among others. While pioneering works in this field have shown promising performance, they often focus solely ...
- research-articleApril 2024JUST ACCEPTED
Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation
Collaborative filtering (CF) works have demonstrated the robust capabilities of Shallow Autoencoders on implicit feedback, showcasing highly competitive performance with other reasonable approaches (e.g., iALS and VAE-CF). However, despite their dual ...
- research-articleApril 2024JUST ACCEPTED
Graph4IUR: Incomplete Utterance Rewriting with Semantic Graph
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3653301Utterance rewriting aims to identify and supply the omitted information in human conversation, which further enables the downstream task to understand conversations more comprehensively. Recently, sequence edit methods, which leverage the overlap between ...