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Research on Fast Recommendation Algorithm of Library Personalized Information Based on Density Clustering

Yuqing Shi, Yuelong Zhu, Jian Su
2022 Security and Communication Networks  
In order to improve the accuracy and efficiency of library information recommendation, this paper proposes a fast recommendation algorithm for library personalized information based on density clustering  ...  According to the analysis of the clustering principle, the algorithm achieves the clustering of library information by designing density interval function.  ...  of traditional recommendation algorithms, this study designed a fast recommendation algorithm for library personalized information based on density clustering.  ... 
doi:10.1155/2022/1169115 fatcat:kxbsyqbo55gjbdfrttoh6lfxba

User Behavior Identification and Personalized Recommendation Based on Web Data Mining

Ya Wang
2021 North atlantic university union: International Journal of Circuits, Systems and Signal Processing  
it also elaborated on the K nearest neighbor model based on user scoring information, the score matrix decomposition method, and the personalized recommendation method for network users.  ...  data mining, it gave the user behavior analysis process based on Web data mining, improved the traditional k-means algorithm, and gave the detailed execution steps of the improved algorithm; moreover,  ...  Some research results merely mitigate the limitation of the recommendation solely based on user feedbacks.  ... 
doi:10.46300/9106.2021.15.72 fatcat:xgeiknhge5btvfqk2llf7szss4

Intelligent computational techniques for multimodal data

Shishir Kumar, Prabhat Mahanti, Su-Jing Wang
2019 Multimedia tools and applications  
social multimedia, Multimedia detection algorithm of malicious nodes, Multimedia based fast face recognition, Diversifying personalized mobile multimedia application, Multimedia image edge extraction  ...  algorithm, Rumour veracity detection.  ...  The experience of serving as Guest Editors for this special issue on "Multimedia Tools and Applications" is excellent in form of analysing the topics relevant to the theory and practice of intelligent  ... 
doi:10.1007/s11042-019-07936-z fatcat:icmwanpmgbd77cdv47nminn4ee

Visualization of Information Retrieval in Smart Library Based on Virtual Reality Technology

Shulin Fang, Zhihan Lv
2020 Complexity  
Research is on the context construction of knowledge service extension of smart library.  ...  Research is on the construction of the context of the extension and interconnection of knowledge services in smart libraries.  ...  In the research on the application of virtual reality technology in the library personalized service platform, it is found that the library information browsing system based on QR code and virtual reality  ... 
doi:10.1155/2020/6646673 fatcat:wz2m6wyapjelflph3sinllbcya

Special issue on pervasive and ubiquitous solutions for cultural enrichment

Wei Wei, Jinsong Wu, Chunsheng Zhu
2019 Personal and Ubiquitous Computing  
In the paper "The Construction of Sports Culture Industry Growth Forecast Model Based on Big Data", the feasibility of sports culture industry growth prediction based on big data theory from the perspective  ...  Based on the feedbacks of peer-reviewers, as well as the evaluations of editors, 33 papers are selected in this special issue from 74 papers.  ...  In the paper "Personalized Recommendation of Film and Television Culture Based on Intelligent Classification Algorithm", a new personalized recommendation algorithm for film and television culture based  ... 
doi:10.1007/s00779-019-01349-3 fatcat:wroducbrgnes3h2c3kgvxp72uu

Don't look stupid

Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan
2006 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work - CSCW '06  
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research papers in a digital library  ...  We posit that different recommender algorithms are better suited to certain information seeking tasks.  ...  Thanks to GroupLens Research and the University of Minnesota Libraries for their help and support, especially Shilad Sen for helping with PLSI.  ... 
doi:10.1145/1180875.1180903 dblp:conf/cscw/McNeeKK06 fatcat:xfig7z3eu5ezhb43evvpyporl4

Mining Individual Behavior Pattern Based on Semantic Knowledge Discovery of Trajectory

Min Ren, Feng Yang, Guangchun Zhou, Haiping Wang
2015 Journal of Computing and Information Technology  
Based on DBSCAN, a novel spatio-temporal data clustering algorithm named Speed-based Clustering Algorithm was put forward to find slow-speed subtrajectories (i.e., stops) of the single trajectory that  ...  In the end, LBS operators are able to provide intelligent and personalized services so as to achieve precise marketing in terms of the characteristics of the individual behavior.  ...  research value than the fast moving ones.  ... 
doi:10.2498/cit.1002578 fatcat:2uejzzclezg6nnxndoaevvzwq4

Real Time Web-based Toolbox for Computer Vision

Sidi Ahmed Mahmoudi, Mohammed Amin Belarbi, Mohammed El Adoui, Mohammed Amine Larhmam, Fabian Lecron
2018 Journal of Science and Technology of the Arts  
These data are characterized by a fast frequency of creation and sharing since images and videos can come from different devices such as cameras, smartphones or drones.  ...  Experimentations were conducted within three kinds of algorithms: 1. image processing toolbox. 2.  ...  He is now postdoctoral researcher at the University of Mons (UMONS), Belgium. His main research areas are computer vision, image processing, collaborative recommendation, and data mining.  ... 
doi:10.7559/citarj.v10i2.494 fatcat:qnioypdv6jhc5kqfyo5xmno6ga

Clustering and Association Rules for Web Service Discovery and Recommendation: A Systematic Literature Review

Waeal J. Obidallah, Bijan Raahemi, Umar Ruhi
2019 SN Computer Science  
The synthesis resulted in knowledge of currently proposed methods for web service discovery and recommendation based on clustering and association rule techniques.  ...  This review will help researchers to understand the current state-of-the-art in clustering and association rules techniques for web service discovery and recommendation, and also recognize trends and future  ...  For example, in clustering, k-means, hierarchical, and density-based clustering algorithm (DBSCAN) algorithms are employed.  ... 
doi:10.1007/s42979-019-0026-8 fatcat:zxtfyluvhjcexohiskvwtdr2jq

ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the Popularity of a Cultural Exhibit on Display

Gatha Tanwar, Ritu Chauhan, Eiad Yafi
2021 Sensors  
the density of visitors around the specific display items.  ...  at a fast pace.  ...  Due to the use of a dynamic and fast-changing dataset, a density-based clustering algorithm was used for the framework.  ... 
doi:10.3390/s21041527 pmid:33671822 fatcat:7ky5ogrwszhsbfx2wpnc47ub6a

A Personalized Location Recommendation System based on Probability and Proximity

2019 International journal of recent technology and engineering  
Recommendation systems provide suggestions based on user preferences, requirements, and interests.  ...  The main objective is to develop a Personalized Location Recommendation System, which will recommend the locations to users using Probability and Proximity.  ...  It clusters the locations by using Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm by using check-in records of users and it extracts the preferences of users.  ... 
doi:10.35940/ijrte.b1723.078219 fatcat:trk7letulbdxnanxqm7ys6vbum

Wine Ontology Influence in a Recommendation System

Luís Oliveira, Rodrigo Rocha Silva, Jorge Bernardino
2021 Big Data and Cognitive Computing  
In both sets of tests, we applied four machine learning clustering algorithms that had the objective of predicting if a user recommends a wine product.  ...  For this reason, we investigate what would happen if the information analyzed by a recommendation system was insufficient.  ...  Acknowledgments: We acknowledge CISUC-Centre of Informatics and Systems of University of Coimbra for the facilities offered during this project.  ... 
doi:10.3390/bdcc5020016 fatcat:7jep54726rdztoul52etrrekpi

MARVEL Workshop - DATAWEEK2022 - The challenges of the extreme-scale multi-modal analytics applications

Sotiris Ioannidis, Manfredo Atzori, Nikolaos Passalis, Paulo Figueiras
2022 Zenodo  
Paulo Figueiras, senior Researcher of VesselAI at a workshop where they explored "The challenges of the extreme-scale multi-modal analytics applications" in the context of the research projects they participate  ...  find synergies, build new collaborations and identify new challenges and recommendations.  ...  approaches • Route forecasting using autoregressive RNN, Seq2seq, Seq2seq w/ attention, Gaussian process regression, KNN-based forecasting • Port mooring area clustering using density-based approaches  ... 
doi:10.5281/zenodo.6667599 fatcat:yzgopyjvprhbvfmraci7zyizuy

A Two-Step Clustering Approach to Extract Locations from Individual GPS Trajectory Data

Zhongliang Fu, Zongshun Tian, Yanqing Xu, Changjian Qiao
2016 ISPRS International Journal of Geo-Information  
Finally, an improved clustering algorithm based on a fast search and identification of density peaks was applied to discover the trajectory locations.  ...  Zhou et al. [13] proposed the DJ-Cluster algorithm based on the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) [14] in order to recognize the location.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi5100166 fatcat:tku4763zlvboppym4nq5fpytcy

Linked Open Data in Location-Based Recommendation System on Tourism Domain: a survey

Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu
2020 IEEE Access  
This work aims not only to present a systematic review and mapping of the linked open data in location-based recommendation system on tourism domain, but also to provide an overview of the current research  ...  Last, we also guide the possible future research direction for the linked open data in location-based recommendations on tourism.  ...  First, they used a spatial clustering method from the concept of fast search and find of density peaks. Second, TF-IDF was applied to build a tag vector and calculate text vector similarity.  ... 
doi:10.1109/access.2020.2967120 fatcat:yqwkrko6mzfw5e5kckfaxbxzju
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