Titlebook: Advances in Knowledge Discovery and Data Mining; 27th Pacific-Asia Co Hisashi Kashima,Tsuyoshi Ide,Wen-Chih Peng Conference proceedings 202

廚師

Toward Explainable Recommendation via?Counterfactual Reasoningeness, most of these models neglect the fact that not all aspects are equally important when users decide to purchase different items. As a result, the explanations generated may not reflect the users’ actual preferences. Furthermore, these models typically rely on external tools to extract aspect-l

星星

Online Volume Optimization for?Notifications via?Long Short-Term Value Modelingion about the app. However, determining the proper volume of notifications sent to each user is a key challenge for improving user experience, particularly for new users whose preferences on push notifications are unknown. In this paper, we address the problem of app notification volume optimization

Console

Discovering Geo-referenced Frequent Patterns in?Uncertain Geo-referenced Transactional Databasesnomenon over time. Useful patterns that can empower the users to achieve socio-economic development lie hidden in this database. Finding these patterns is challenging as the existing frequent pattern mining studies ignore the spatial information of the items in a database. This paper proposes a gene

Bucket

Joint Latent Topic Discovery and?Expectation Modeling for?Financial Marketse capturing interrelations between companies and their stocks. However, current relational stock methods are limited by their reliance on predefined stock relationships and the exclusive consideration of immediate effects. To address these limitations, we present a groundbreaking framework for finan

Acetaldehyde

A Text2Text Generative Approach for?Financial Complaint Identificationancial loss, material inconvenience, and distress are sufficient examples to intensify the need for an automated complaint analysis tool in the financial domain, particularly on social media with diverse information-related affairs. Recently, advanced approaches like complaint detection with machine

珠寶

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