5 papers
Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
Jaime Hieu Do, Trung-Hoang Le, Hady W. Lauw
In the online digital realm, recommendation systems are ubiquitous and play a crucial role in enhancing user experience. These systems leverage user preferences to provide personal…
A Partition Cover Approach to Tokenization
Jia Peng Lim, Shawn Tan, Davin Choo +1
Tokenization is the process of encoding strings into tokens of a fixed vocabulary size, and is widely utilized in Natural Language Processing applications. The leading tokenization…
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
Antoine Ledent, Petr Kasalický, Rodrigo Alves +1
We introduce a new convolutional AutoEncoder architecture for user modelling and recommendation tasks with several improvements over the state of the art. Firstly, our model has th…
A Contrastive Framework with User, Item and Review Alignment for Recommendation
Hoang V. Dong, Yuan Fang, Hady W. Lauw
Learning effective latent representations for users and items is the cornerstone of recommender systems. Traditional approaches rely on user-item interaction data to map users and…
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer
Delvin Ce Zhang, Menglin Yang, Xiaobao Wu +2
Textual documents are commonly connected in a hierarchical graph structure where a central document links to others with an exponentially growing connectivity. Though Hyperbolic Gr…