DKN: Deep knowledge-aware network for news recommendation
Online news recommender systems aim to address the information explosion of news and
make personalized recommendation for users. In general, news language is highly …
make personalized recommendation for users. In general, news language is highly …
NPA: neural news recommendation with personalized attention
News recommendation is very important to help users find interested news and alleviate
information overload. Different users usually have different interests and the same user may …
information overload. Different users usually have different interests and the same user may …
News recommender systems–Survey and roads ahead
More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …
newspapers or by navigating the sites of news aggregators. However, the abundance of …
Understanding user beliefs about algorithmic curation in the Facebook news feed
People are becoming increasingly reliant on online socio-technical systems that employ
algorithmic curation to organize, select and present information. We wanted to understand …
algorithmic curation to organize, select and present information. We wanted to understand …
Building rome in a day
We present a system that can reconstruct 3D geometry from large, unorganized collections
of photographs such as those found by searching for a given city (eg, Rome) on Internet …
of photographs such as those found by searching for a given city (eg, Rome) on Internet …
Graph enhanced representation learning for news recommendation
With the explosion of online news, personalized news recommendation becomes
increasingly important for online news platforms to help their users find interesting …
increasingly important for online news platforms to help their users find interesting …
Seed-driven document ranking for systematic reviews in evidence-based medicine
Systematic review (SR) in evidence-based medicine is a literature review which provides a
conclusion to a specific clinical question. To assure credible and reproducible conclusions …
conclusion to a specific clinical question. To assure credible and reproducible conclusions …
Bridging text visualization and mining: A task-driven survey
Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …
academic research and the commercial world. To provide an overview of the relevant …
Survey on learning-to-rank based recommendation algorithms
黄震华， 张佳雯， 田春岐， 孙圣力， 向阳 - Journal of Software, 2015 - jos.org.cn
排序学习技术尝试用机器学习的方法解决排序问题, 已被深入研究并广泛应用于不同的领域,
如信息检索, 文本挖掘, 个性化推荐, 生物医学等. 将排序学习融入推荐算法中 …
如信息检索, 文本挖掘, 个性化推荐, 生物医学等. 将排序学习融入推荐算法中 …
[PDF][PDF] 基于排序学习的推荐算法研究综述
黄震华， 张佳雯， 田春岐， 孙圣力， 向阳 - 软件学报, 2015 - jos.org.cn
排序学习技术尝试用机器学习的方法解决排序问题, 已被深入研究并广泛应用于不同的领域,
如信息检索, 文本挖掘, 个性化推荐, 生物医学等. 将排序学习融入推荐算法中 …
如信息检索, 文本挖掘, 个性化推荐, 生物医学等. 将排序学习融入推荐算法中 …