Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shuchao Feng"'
Publikováno v:
Genome. 61:567-574
Dioscorea zingiberensis (Dioscoreceae) is the main plant source of diosgenin (steroidal sapogenins), the precursor for the production of steroid hormones in the pharmaceutical industry. Despite its large economic value, genomic information of the gen
Publikováno v:
International Journal of Software Innovation. 5:49-63
The traditional graph-based personal recommendation algorithms mainly depend the user-item model to construct a bipartite graph. However, the traditional algorithms have low efficiency, because the matrix of the algorithms is sparse and it cost lots
Publikováno v:
2016 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD).
The graph-based algorithm for personalized recommendations mainly depends on the user-item model to construct a bipartite graph. We can provide recommendations by analyzing the bipartite graphs. However, for personalized videos recommendations, the c
Publikováno v:
ACIT-CSI
In recent years, the research on text classification algorithm is still a hot topic in text mining. The KNN is a classic text classification algorithm. The rule of finding the nearest neighbors directly affects the performance and precision of catego
Publikováno v:
ICIS
The KNN is a classic text classification algorithm. In this paper, we propose a new text classification algorithm based on the KNN. We set a text similarity threshold to optimize the value of K. In this way, we can avoid the wrong result of classific
Publikováno v:
Advances in Intelligent Systems Research.
At present, the mode analysis methods for Internet User to browse news have three main kinds: that is, association analysis, clustering analysis and the mode of sequence analysis. This paper mainly focuses on the personalized news recommendation for
Publikováno v:
International Journal of Software Innovation; Jul-Sep2017, Vol. 5 Issue 3, p49-63, 15p