Jun 15, 2023 · We discuss the use of hierarchical transformers for user semantic similarity in the context of analyzing users' behavior and profiling social media users.

Jul 20, 2023 · How to compute accurate user similarities by using the shared textual content only, through a 2-stages hierarchical Transformer-based model, ...

Jun 16, 2023 · This work aims to compute accurate user similarities on Twitter just using the textual content shared by users, a feature known to be easy and quick to collect.

Jun 16, 2023 · This work aims to compute accurate user similarities on Twitter just using the textual content shared by users, a feature known to be easy and ...

Jun 15, 2023 · We discuss the use of hierarchical transformers for user semantic similarity in the context of analyzing users' behavior and profiling social media users.

Jun 9, 2023 · We discuss the use of hierarchical transformers for user semantic similarity in the context of analyzing users' behavior and profiling ...

Almahmoud, H., AlKhalifa, S.: TSim: a system for discovering similar users on twitter. J. Big Data 5, 1–20 (2018). https://doi.org/10.1186/s40537-018-0147-2

May 9, 2024 · We propose a Similarity-Guided Multimodal Fusion Transformer (SG-MFT) for predicting social users' semantic locations.

Oct 7, 2023 · In this article, we will continue the line of work by looking into another well-known work called Hierarchical Attention Transformers (HAT).

In contrast, we use similarity-based grouping to learn part- level masks, and are the first to validate the effectiveness of using part-level mask ...