A survey on session-based recommender systems

S Wang, L Cao, Y Wang, QZ Sheng, MA Orgun… - ACM Computing …, 2021 - dl.acm.org
Recommender systems (RSs) have been playing an increasingly important role for informed
consumption, services, and decision-making in the overloaded information era and digitized …

Deep learning in news recommender systems: A comprehensive survey, challenges and future trends

MM Talha, HU Khan, S Iqbal, M Alghobiri, T Iqbal… - Neurocomputing, 2023 - Elsevier
Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …

Personalized news recommendation: Methods and challenges

C Wu, F Wu, Y Huang, X Xie - ACM Transactions on Information Systems, 2023 - dl.acm.org
Personalized news recommendation is important for users to find interesting news
information and alleviate information overload. Although it has been extensively studied …

Graph neural news recommendation with long-term and short-term interest modeling

L Hu, C Li, C Shi, C Yang, C Shao - Information Processing & Management, 2020 - Elsevier
With the information explosion of news articles, personalized news recommendation has
become important for users to quickly find news that they are interested in. Existing methods …

Dan: Deep attention neural network for news recommendation

Q Zhu, X Zhou, Z Song, J Tan, L Guo - Proceedings of the AAAI …, 2019 - ojs.aaai.org
With the rapid information explosion of news, making personalized news recommendation
for users becomes an increasingly challenging problem. Many existing recommendation …

Contextual hybrid session-based news recommendation with recurrent neural networks

PM Gabriel De Souza, D Jannach… - IEEE Access, 2019 - ieeexplore.ieee.org
Recommender systems help users deal with information overload by providing tailored item
suggestions to them. The recommendation of news is often considered to be challenging …

Positive, negative and neutral: Modeling implicit feedback in session-based news recommendation

S Gong, KQ Zhu - Proceedings of the 45th international ACM SIGIR …, 2022 - dl.acm.org
News recommendation for anonymous readers is a useful but challenging task for many
news portals, where interactions between readers and articles are limited within a temporary …

A knowledge-aware attentional reasoning network for recommendation

Q Zhu, X Zhou, J Wu, J Tan, L Guo - … of the AAAI conference on artificial …, 2020 - ojs.aaai.org
Abstract Knowledge-graph-aware recommendation systems have increasingly attracted
attention in both industry and academic recently. Many existing knowledge-aware …

On the current state of deep learning for news recommendation

N Amir, F Jabeen, Z Ali, I Ullah, AU Jan… - Artificial Intelligence …, 2023 - Springer
The exponential outbreak of news articles makes it troublesome for the readers to find,
select and read the most relevant ones and alleviate the resulting information and cognitive …

Context-aware recommender systems for social networks: review, challenges and opportunities

AB Suhaim, J Berri - IEEE Access, 2021 - ieeexplore.ieee.org
Context-aware recommender systems dedicated to online social networks experienced
noticeable growth in the last few years. This has led to more research being done in this …