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RECOME: A new density-based clustering algorithm using relative KNN kernel density
Y Geng, Q Li, R Zheng, F Zhuang, R He, N **_a_Search_Engine_for_Social_Networks/links/633a17ed769781354eb1050f/Develo**-a-Search-Engine-for-Social-Networks.pdf" data-clk="hl=fi&sa=T&oi=gga&ct=gga&cd=6&d=16885928931543392081&ei=n7-9Z-6AC4-w6rQPpeb7oAg" data-clk-atid="UZ8i0-XeVuoJ" target="_blank">[PDF] researchgate.net
Develo** a Search Engine for Social Networks
S Bais, B Choi - Proceedings of the 8th International Conference on …, 2022 - dl.acm.org
This paper describes the development of a search engine especially designed for retrieving
information from social networking sites. The users of social networking sites, such as …
information from social networking sites. The users of social networking sites, such as …
Efficient keyword searching in large-scale social network service
H Chen, H ** - IEEE transactions on services computing, 2015 - ieeexplore.ieee.org
Different from traditional web searching, the relevant information for a social network system
(SNS) is commonly the content from his/her friends. Such a difference makes content …
(SNS) is commonly the content from his/her friends. Such a difference makes content …
[PDF][PDF] Efficient Multi-User Indexing for Secure Keyword Search.
Secure keyword search in shared infrastructures prevents stored documents from leaking
confidential information to unauthorized users. We assume that a shared index provides …
confidential information to unauthorized users. We assume that a shared index provides …
Multi-level approximate spectral clustering
Clustering is a task of finding natural groups in datasets based on measured or perceived
similarity between data points. Spectral clustering is a well-known graph-theoretic approach …
similarity between data points. Spectral clustering is a well-known graph-theoretic approach …