基于用户多重兴趣漂移特征权重的网络出版物推荐研究
钱聪, 齐江蕾, 丁浩 - 数据分析与知识发现, 2023 - manu44.magtech.com.cn
… [Limitations] The analysis of interest drift evolution depends on historical user data. When
the data is too sparse, alternative user information is required for a cold start. [Conclusions] …
the data is too sparse, alternative user information is required for a cold start. [Conclusions] …
[HTML][HTML] 基于图神经网络的会话推荐方法综述*
张雄涛, 祝娜, 郭玉慧 - 数据分析与知识发现, 2023 - manu44.magtech.com.cn
[目的] 聚焦图神经网络技术, 对会话推荐方法进行述评.[文献范围] 分别以“Session-Based
Recommendation”“Graph Neural Network”“会话推荐”“图神经网络” 为检索词, 在Web of Science, …
Recommendation”“Graph Neural Network”“会话推荐”“图神经网络” 为检索词, 在Web of Science, …
防护推荐系统免遭托攻击
张响亮 - 计算机科学技术学报, 2013 - jcst.ict.ac.cn
… much of the influence of biased attack profiles for model-… in regular cases, we first measure
the performance of algorithms … than the baseline collaborative filtering algorithm without the …
the performance of algorithms … than the baseline collaborative filtering algorithm without the …
… 无偏数据集构建及预训练语言模型的性别偏度评估(Construction of Chinese Sentence-Level Gender-Unbiased Data Set and Evaluation of Gender Bias in Pre-Training …
J Zhao, B Du, S Zhu, P Liu - Proceedings of the 20th Chinese …, 2021 - aclanthology.org
… -level gender-unbiased data set SlguSet containing 20,000 sentences… measure the degree
of gender bias in pre-trained language models, and evaluates the gender bias in five popular …
of gender bias in pre-trained language models, and evaluates the gender bias in five popular …
隐式数据中基于信任关系的Item 推荐算法
郭磊, 马军, 姜浩然, 陈竹敏, 邢长明 - 计算机科学技术学报, 2015 - jcst.ict.ac.cn
… Typical recommender systems are based on collaborative filtering, which is a technique
that can predict the preference of a given user by only collecting rating information from other …
that can predict the preference of a given user by only collecting rating information from other …
[PDF][PDF] 阁EasyChair Preprint
H Jonathan, E Frank - 2024 - easychair.org
… for data assets. These recommendations are based on user preferences, past search patterns,
collaborative filtering, … to ethical considerations regarding data usage, bias, and privacy. …
collaborative filtering, … to ethical considerations regarding data usage, bias, and privacy. …
分解遇见异构潜在主题: 一个可解释的跨网站推荐模型
辛欣, 林钦佑, 魏骁驰, 黄河燕 - 计算机科学技术学报, 2015 - jcst.ict.ac.cn
… First, we explore cross-site information in solving the data sparsity … traditional collaborative
filtering algorithms, 2) collaborative filtering … If we further remove the personal bias vector of ε …
filtering algorithms, 2) collaborative filtering … If we further remove the personal bias vector of ε …
基于改进张量分解模型的个性化推荐算法研究*
陈梅梅, 薛康杰 - 数据分析与知识发现, 1985 - manu44.magtech.com.cn
… Second, we established a penalty scheme on popular tag and resource co-occurrence
with the help of IDF in TF-IDF. Finally,we re-defined the initial tensor on the triplets of user, tag …
with the help of IDF in TF-IDF. Finally,we re-defined the initial tensor on the triplets of user, tag …
[PDF][PDF] 基于用户时点可见性的无趣项挖掘及协同过滤推荐方法
石磊, 李树青 - 数据分析与知识发现, 2022 - njcie.com
… the collaborative filtering algorithm based on explicit feedbacks, aiming to address data sparsity
and user selection bias … Then, we measured the visibility of items along with user activity, …
and user selection bias … Then, we measured the visibility of items along with user activity, …
[PDF][PDF] 默Weblogs as a bridging genre
SC Herring, LA Scheidt, E Wright, S Bonus - homes.luddy.indiana.edu
… We also took into consideration popular definitions of blogs, incorporating means to measure
the purported defining characteristics of blogs as articulated by Blood (2002a) and other …
the purported defining characteristics of blogs as articulated by Blood (2002a) and other …