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Research on Fast Recommendation Algorithm of Library Personalized Information Based on Density Clustering
2022
Security and Communication Networks
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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
2021
North atlantic university union: International Journal of Circuits, Systems and Signal Processing
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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
2019
Multimedia tools and applications
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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
2020
Complexity
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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
2019
Personal and Ubiquitous Computing
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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
2006
Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work - CSCW '06
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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
2015
Journal of Computing and Information Technology
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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
2018
Journal of Science and Technology of the Arts
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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
2019
SN Computer Science
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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
2021
Sensors
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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
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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
2021
Big Data and Cognitive Computing
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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
2022
Zenodo
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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
2016
ISPRS International Journal of Geo-Information
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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
2020
IEEE Access
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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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