Volume 16, Issue 5October 2022Current IssueIssue-in-Progress
MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation
October 2022, Article No.: 81, pp 1–23https://doi.org/10.1145/3497748

Next basket recommendation aims at predicting the next set of items that a user would likely purchase together, which plays an important role in e-commerce platforms. Unlike conventional item recommendation, the next basket recommendation focuses on ...

Multi-relation Graph Summarization
October 2022, Article No.: 82, pp 1–30https://doi.org/10.1145/3494561

Graph summarization is beneficial in a wide range of applications, such as visualization, interactive and exploratory analysis, approximate query processing, reducing the on-disk storage footprint, and graph processing in modern hardware. However, the ...

Online Learning Bipartite Matching with Non-stationary Distributions
October 2022, Article No.: 83, pp 1–22https://doi.org/10.1145/3502734

Online bipartite matching has attracted wide interest since it can successfully model the popular online car-hailing problem and sharing economy. Existing works consider this problem under either adversary setting or i.i.d. setting. The former is too ...

Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model
October 2022, Article No.: 84, pp 1–48https://doi.org/10.1145/3502727

In topic models, collections are organized as documents where they arise as mixtures over latent clusters called topics. A topic is a distribution over the vocabulary. In large-scale applications, parametric or finite topic mixture models such as LDA (...

Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes
October 2022, Article No.: 85, pp 1–22https://doi.org/10.1145/3502732

Unsupervised representation learning tends to produce generic and reusable latent representations. However, these representations can often miss high-level features or semantic information, since they only observe the implicit properties of the dataset. ...

Computational Estimation by Scientific Data Mining with Classical Methods to Automate Learning Strategies of Scientists
October 2022, Article No.: 86, pp 1–52https://doi.org/10.1145/3502736

Experimental results are often plotted as 2-dimensional graphical plots (aka graphs) in scientific domains depicting dependent versus independent variables to aid visual analysis of processes. Repeatedly performing laboratory experiments consumes ...

Online Scalable Streaming Feature Selection via Dynamic Decision
October 2022, Article No.: 87, pp 1–20https://doi.org/10.1145/3502737

Feature selection is one of the core concepts in machine learning, which hugely impacts the model’s performance. For some real-world applications, features may exist in a stream mode that arrives one by one over time, while we cannot know the exact number ...

Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation
October 2022, Article No.: 88, pp 1–23https://doi.org/10.1145/3502730

Name ambiguity is a prevalent problem in scholarly publications due to the unprecedented growth of digital libraries and number of researchers. An author is identified by their name in the absence of a unique identifier. The documents of an author are ...

BhBF: A Bloom Filter Using Bh Sequences for Multi-set Membership Query
October 2022, Article No.: 89, pp 1–26https://doi.org/10.1145/3502735

Multi-set membership query is a fundamental issue for network functions such as packet processing and state machines monitoring. Given the rigid query speed and memory requirements, it would be promising if a multi-set query algorithm can be designed ...

DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model
October 2022, Article No.: 90, pp 1–17https://doi.org/10.1145/3505272

Predicting user positive response (e.g., purchases and clicks) probability is a critical task in Web applications. To identify predictive features from raw data, the state-of-the-art extreme deep factorization machine model (xDeepFM) introduces a new ...

Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring
October 2022, Article No.: 91, pp 1–6https://doi.org/10.1145/3502729

The objective of this letter is to propose a novel computational method to learn the state of an appliance (ON / OFF) given the aggregate power consumption recorded by the smart-meter. We formulate a multi-label classification problem where the classes ...

Constant Time Graph Neural Networks
October 2022, Article No.: 92, pp 1–31https://doi.org/10.1145/3502733

The recent advancements in graph neural networks (GNNs) have led to state-of-the-art performances in various applications, including chemo-informatics, question-answering systems, and recommender systems. However, scaling up these methods to huge graphs, ...

PSL: An Algorithm for Partial Bayesian Network Structure Learning
October 2022, Article No.: 93, pp 1–25https://doi.org/10.1145/3508071

Learning partial Bayesian network (BN) structure is an interesting and challenging problem. In this challenge, it is computationally expensive to use global BN structure learning algorithms, while only one part of a BN structure is interesting, local BN ...

Intelligent Data Analysis using Optimized Support Vector Machine Based Data Mining Approach for Tourism Industry
October 2022, Article No.: 94, pp 1–20https://doi.org/10.1145/3494566

Data analysis involves the deployment of sophisticated approaches from data mining methods, information theory, and artificial intelligence in various fields like tourism, hospitality, and so on for the extraction of knowledge from the gathered and ...

Graph Neural News Recommendation with User Existing and Potential Interest Modeling
October 2022, Article No.: 96, pp 1–17https://doi.org/10.1145/3511708

Personalized news recommendations can alleviate the information overload problem. To enable personalized recommendation, one critical step is to learn a comprehensive user representation to model her/his interests. Many existing works learn user ...


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