Appl. Comput. Intell. Soft Comput.最新文献_第3页

Optimized Seq2Seq model based on multiple methods for short-term power load forecasting 优化基于多种方法的Seq2Seq模型用于短期电力负荷预测

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-04-01 DOI: 10.2139/ssrn.4288724

Yeming Dai, Xinyu Yang, Mingming Leng

引用次数: 1

Privileged information learning with weak labels 弱标签的特权信息学习

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-04-01 DOI: 10.2139/ssrn.4191841

ye zexin, Yanshan Xiao, Zexin Ye, Liang Zhao, Xiangjun Kong, Bo Liu, Fayadh S. Alenezi, Sara AAlthubiti, K. Polat, A. Alhudhaif

引用次数: 2

Book Recommendation Using Collaborative Filtering Algorithm 基于协同过滤算法的图书推荐

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-11 DOI: 10.1155/2023/1514801

Esmael Ahmed, Adane Letta

{"title":"Book Recommendation Using Collaborative Filtering Algorithm","authors":"Esmael Ahmed, Adane Letta","doi":"10.1155/2023/1514801","DOIUrl":"https://doi.org/10.1155/2023/1514801","url":null,"abstract":"The explosive growth in the amount of available digital information in higher education has created a potential challenge of information overload, which hampers timely access to items of interest. The recommender systems are applied in different domains such as recommendations film, tourist advising, webpages, news, songs, and products. But the recommender systems pay less attention to university library services. The most users of university library are students. These users have a lack of ability to search and select the appropriate materials from the large repository that meet for their needs. A lot of work has been done on recommender system, but there are technical gaps observed in existing works such as the problem of constant item list in using web usage mining, decision tree induction, and association rule mining. Besides, it is observed that there is cold start problem in case-based reasoning approach. Therefore, this research work presents matrix factorization collaborative filtering with some performance enhancement to overcome cold start problem. In addition, it presents a comparative study among memory-based and model-based approaches. In this study, researchers used design science research method. The study dataset, 5189 records and 76,888 ratings, was collected from the University of Gondar student information system and online catalogue system. To develop the proposed model, memory-based and model-based approaches have been tested. In memory-based approach, matrix factorization collaborative filtering with some performance enhancements has been implemented. In model-based approach, K-nearest neighbour (KNN) and singular value decomposition (SVD) algorithms are also assessed experimentally. The SVD model is trained on our dataset optimized with a scored RMSE 0.1623 compared to RMSE 0.1991 before the optimization. The RMSE for a KNN model trained using the same dataset was 1.0535. This indicates that the matrix factorization performs better than KNN models in building collaborative filtering recommenders. The proposed SVD-based model accuracy score is 85%. The accuracy score of KNN model is 53%. So, the comparative study indicates that matrix factorization technique, specifically SVD algorithm, outperforms over neighbourhood-based recommenders. Moreover, using hyperparameter tuning with SVD also has an improvement on model performance compared with the existing SVD algorithm.","PeriodicalId":8218,"journal":{"name":"Appl. Comput. Intell. Soft Comput.","volume":"21 1","pages":"1514801:1-1514801:12"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82608754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A three-way decision based multi-attribute decision-making with intuitionistic fuzzy β-covering 基于直觉模糊覆盖的三向决策多属性决策

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-01 DOI: 10.2139/ssrn.4288727

Haidong Zhang, Deji Selang

引用次数: 2

Outlier aware differential evolution for multimodal optimization problems 多模态优化问题的离群值感知差分进化

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-01 DOI: 10.2139/ssrn.4040685

Hong Zhao, Zhiyong Zhan, J. Liu

引用次数: 2

Z-number-valued rule-based classification system z值基于规则的分类系统

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-01 DOI: 10.2139/ssrn.4303214

Yangxue Li, E. Herrera-Viedma, I. Pérez, M. Barragán-Guzmán, J. A. Morente-Molinera

引用次数: 5

An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem 基于简约性的多目标系统发育网络推理进化算法

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-01 DOI: 10.2139/ssrn.4327158

Manuel Villalobos-Cid, M. Dorn, Ángela Contreras, Mario Inostroza-Ponta

引用次数: 0

Purchasing decision of machine tool by exploiting uncertain information in nested probabilistic linguistic model 利用嵌套概率语言模型中的不确定信息进行机床采购决策

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-01 DOI: 10.2139/ssrn.4129891

Ming Li, Xinxin Wang, Z. S. Xu

引用次数: 0

Strengthening evolution-based differential evolution with prediction strategy for multimodal optimization and its application in multi-robot task allocation 加强基于进化的差分进化与多模态优化预测策略及其在多机器人任务分配中的应用

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-01 DOI: 10.2139/ssrn.4266785

Hong Zhao, Ling Tang, Jia-rui Li, J. Liu

引用次数: 4

Multi-objective evolving long-short term memory networks with attention for network intrusion detection 关注网络入侵检测的多目标演化长短期记忆网络

Appl. Comput. Intell. Soft Comput. Pub Date : 2023-03-01 DOI: 10.2139/ssrn.4088365

Wenhong Wei, Yi Chen, Qiuzhen Lin, Junkai Ji, Ka-chun Wong, Jianqiang Li

引用次数: 1