activity
20242026
most citedFineRec:Exploring Fine-grained Sequential Recommendation

25 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos

Junyu Lu, Deyi Ji, Liqun Liu +9

Hateful videos have become prevalent on online platforms, highlighting an urgent need for effective detection. However, existing studies primarily focus on binary classification an…

cs.IR2025★ 1 cited

IP2: Entity-Guided Interest Probing for Personalized News Recommendation

Youlin Wu, Yuanyuan Sun, Xiaokun Zhang +4

News recommender systems aim to provide personalized news reading experiences for users based on their reading history. Behavioral science studies suggest that screen-based news re…

cs.IR2024

Don't Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning

Yijie Shu, Xiaokun Zhang, Youlin Wu +3

News recommendation emerges as a primary means for users to access content of interest from the vast amount of news. The title clickbait extensively exists in news domain and incre…

cs.IR2024★ 25 cited

FineRec:Exploring Fine-grained Sequential Recommendation

Xiaokun Zhang, Bo Xu, Youlin Wu +3

Sequential recommendation is dedicated to offering items of interest for users based on their history behaviors. The attribute-opinion pairs, expressed by users in their reviews fo…

cs.CL2024★ 2 cited

Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives

Haohao Zhu, Xiaokun Zhang, Junyu Lu +7

Textual personality detection aims to identify personality characteristics by analyzing user-generated content on social media platforms. Extensive psychological literature highlig…