Law article-enhanced legal case matching: A causal learning approach
Legal case matching, which automatically constructs a model to estimate the similarities
between the source and target cases, has played an essential role in intelligent legal …
between the source and target cases, has played an essential role in intelligent legal …
Dynamic Hierarchical Attention Network for news recommendation
Q Zhao, X Chen, H Zhang, X Li - Expert Systems with Applications, 2024 - Elsevier
Existing news recommendation methods often rely on static user–news interactions that fail
to account for the evolving nature of users' preferences over time. To address the prevalent …
to account for the evolving nature of users' preferences over time. To address the prevalent …
Mitigating Dual Latent Confounding Biases in Recommender Systems
Recommender systems are extensively utilised across various areas to predict user
preferences for personalised experiences and enhanced user engagement and satisfaction …
preferences for personalised experiences and enhanced user engagement and satisfaction …
UniSAR: Modeling User Transition Behaviors between Search and Recommendation
Nowadays, many platforms provide users with both search and recommendation services as
important tools for accessing information. The phenomenon has led to a correlation between …
important tools for accessing information. The phenomenon has led to a correlation between …
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Incorporating Search and Recommendation (S&R) services within a singular application is
prevalent in online platforms, leading to a new task termed open-app motivation prediction …
prevalent in online platforms, leading to a new task termed open-app motivation prediction …
Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation
Many platforms, such as e-commerce websites, offer both search and recommendation
services simultaneously to better meet users' diverse needs. Recommendation services …
services simultaneously to better meet users' diverse needs. Recommendation services …
Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation
For recommender systems in internet platforms, search activities provide additional insights
into user interest through query-click interactions with items, and are thus widely used for …
into user interest through query-click interactions with items, and are thus widely used for …
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders
Z Huang, S Zhang, D Cheng, J Li, L Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
In recommender systems, various latent confounding factors (eg, user social environment
and item public attractiveness) can affect user behavior, item exposure, and feedback in …
and item public attractiveness) can affect user behavior, item exposure, and feedback in …