期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 15 (3)
Semantic hashing enables computation and memory-efficient image retrieval through learning similarity-preserving binary representations. Most existing......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (1)
Social relations between users have been proven to be a good type of auxiliary information to improve the recommendation performance. However, it is a......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 15 (3)
Stochastic blockmodel (SBM) is a widely used statistical network representation model, with good interpretability, expressiveness, generalization, and......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 15 (4)
In this article, we aim to develop a unified view of causal and non-causal feature selection methods. The unified view will fill in the gap in the res......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (1)
Web systems that provide the same functionality usually share a certain amount of items. This makes it possible to combine data from different website......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 15 (2)
Recent years have witnessed great advancement of representation learning (RL)-based models for the knowledge graph relation prediction task. However, ......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 15 (3)
Store site recommendation aims to predict the value of the store at candidate locations and then recommend the optimal location to the company for pla......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (2)
Impression regulation plays an important role in various online ranking systems, e.g., e-commerce ranking systems always need to achieve local commerc......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 15 (4)
Many complex systems derived from nature and society consist of multiple types of entities and heterogeneous interactions, which can be effectively mo......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 15 (5)
Code retrieval is to find the code snippet from a large corpus of source code repositories that highly matches the query of natural language descripti......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (1)
Time-series forecasting is an important problem across a wide range of domains. Designing accurate and prompt forecasting algorithms is a non-trivial ......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (2)
A long line of work in social psychology has studied variations in people's susceptibility to persuasion-the extent to which they are willing to modif......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (1)
In multi-label classification, the task is to induce predictivemodels which can assign a set of relevant labels for the unseen instance. The strategy ......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (2)
This article proposes a deep learning solution to the online portfolio selection problem based on learning a latent structure directly from a price ti......
期刊： ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021; 16 (2)
Crowdsourcing has attracted much attention for its convenience to collect labels from non-expert workers instead of experts. However, due to the high ......
