Examples of Advancement into office by Sungkyunkwan's filial piety recommendation system during King Jungjong in Joseon Dynasty

2018 ◽  
Vol 32 ◽  
pp. 55-69
Author(s):  
Jae-Cheon Chang
Keyword(s):  
Filial Piety ◽  
Recommendation System ◽  
Joseon Dynasty

scholarly journals EARLY REPRESENTATIONS OF FILIAL PIETY IN DYNASTIC HISTORIOGRAPHY: TEXTUAL HISTORY AND CONTENT OF HOU HAN SHU CHAPTER 39

2018 ◽  
Vol 3 (1) ◽  
pp. 1-33 ◽  
Author(s):  
Sebastian Eicher
Keyword(s):  
Filial Piety ◽  
Recommendation System ◽  
Early Stage ◽  
Standard Element ◽  
Textual History ◽  
Song Shu

AbstractTales of filial piety became a standard element of the annals-biography style of historiography early on. Starting from the Song shu 宋書, almost every dynastic history contains a chapter that is devoted to filial men. An early—but often neglected—precursor is Chapter 39 of Fan Ye's 范曄 (398–446) Hou Han shu 後漢書. Inspired by his predecessor Hua Qiao 華嶠 (?–293), Fan inserted a chapter on filial men. The chapter was therefore compiled in times when the recommendation system of the Han and especially the recommendation as “filial and incorruptible” (xiaolian 孝廉) had lost influence. This paper tries to shed some light on its origins, form, and content, and attempts to distinguish the most common motives that were used to describe filial (xiao 孝) behavior in this early stage of its historiographical representation.

Analysis on Research Paper Publication Recommendation System with Composition of Papers and Conferences Matrices

2020 ◽  
pp. 120-127
Author(s):  
Htay Htay Win ◽  
Aye Thida Myint ◽  
Mi Cho Cho
Keyword(s):  
Social Network ◽  
Dimensionality Reduction ◽  
Correspondence Analysis ◽  
Recommendation System ◽  
Research Paper ◽  
Topic Modelling ◽  
Research Papers ◽  
The Right ◽  
Publication Recommendation

For years, achievements and discoveries made by researcher are made aware through research papers published in appropriate journals or conferences. Many a time, established s researcher and mainly new user are caught up in the predicament of choosing an appropriate conference to get their work all the time. Every scienti?c conference and journal is inclined towards a particular ?eld of research and there is a extensive group of them for any particular ?eld. Choosing an appropriate venue is needed as it helps in reaching out to the right listener and also to further one’s chance of getting their paper published. In this work, we address the problem of recommending appropriate conferences to the authors to increase their chances of receipt. We present three di?erent approaches for the same involving the use of social network of the authors and the content of the paper in the settings of dimensionality reduction and topic modelling. In all these approaches, we apply Correspondence Analysis (CA) to obtain appropriate relationships between the entities in question, such as conferences and papers. Our models show hopeful results when compared with existing methods such as content-based ?ltering, collaborative ?ltering and hybrid ?ltering.

Towards Small-Sized Long Tail Business with the Dual-Directed Recommendation System

2010 ◽  
Vol 130 (2) ◽  
pp. 317-323
Author(s):  
Masakazu Takahashi ◽  
Takashi Yamada ◽  
Kazuhiko Tsuda ◽  
Takao Terano
Keyword(s):  
Recommendation System ◽  
Long Tail
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