What social characteristics enhance recommender systems? The effects of network embeddedness and preference heterogeneity

2021 ◽  
Author(s):  
Feifei He ◽  
Chunhua Sun ◽  
Yezheng Liu
Keyword(s):  
Recommender Systems ◽  
Social Characteristics ◽  
Preference Heterogeneity ◽  
Network Embeddedness

scholarly journals The New Economics of Equilibrium Sorting and Policy Evaluation Using Housing Markets

2013 ◽  
Vol 51 (4) ◽  
pp. 1007-1062 ◽  
Author(s):  
Nicolai V. Kuminoff ◽  
V. Kerry Smith ◽  
Christopher Timmins
Keyword(s):  
Public Goods ◽  
Policy Evaluation ◽  
Structural Parameters ◽  
Evaluation Process ◽  
Social Characteristics ◽  
Preference Heterogeneity ◽  
Nonmarket Goods ◽  
Sorting Process ◽  
Future Policy ◽  
Individual Choices

Households “sort” across neighborhoods according to their wealth and their preferences for public goods, social characteristics, and commuting opportunities. The aggregation of these individual choices in markets and in other institutions influences the supply of amenities and local public goods. Pollution, congestion, and the quality of public education are examples. Over the past decade, advances in economic models of this sorting process have led to a new framework that promises to alter the ways we conceptualize the policy evaluation process in the future. These “equilibrium sorting” models use the properties of market equilibria, together with information on household behavior, to infer structural parameters that characterize preference heterogeneity. The results can be used to develop theoretically consistent predictions for the welfare implications of future policy changes. Analysis is not confined to marginal effects or a partial equilibrium setting. Nor is it limited to prices and quantities. Sorting models can integrate descriptions of how nonmarket goods are generated, estimate how they affect decision making, and, in turn, predict how they will be affected by future policies targeting prices or quantities. Conversely, sorting models can predict how equilibrium prices and quantities will be affected by policies that target product quality, information, or amenities generated by the sorting process. These capabilities are just beginning to be understood and used in applied research. This survey article aims to synthesize the state of knowledge on equilibrium sorting, the new possibilities for policy analysis, and the conceptual and empirical challenges that define the frontiers of the literature. (JEL C63, D04, E61, H41, R23, R31, R38)

"Swastika Offenders": Variations in Etiology, Behavior and Psycho-Social Characteristics

1962 ◽  
Vol 10 (1) ◽  
pp. 56-70
Author(s):  
Herman D. Stein ◽  
John M. Martin
Keyword(s):  
Social Characteristics

Social Characteristics and Blood Alcohol Level; Measurements of Subgroup Differences

1972 ◽  
Vol 33 (1) ◽  
pp. 132-147 ◽  
Author(s):  
Henry Wechsler ◽  
Denise Thum ◽  
Harold W. Demone ◽  
Joanne Dwinnell
Keyword(s):  
Blood Alcohol Level ◽  
Social Characteristics ◽  
Blood Alcohol ◽  
Subgroup Differences

CHAM MUSLIMS IN HO CHI MINH CITY TODAY

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Phu Van Han
Keyword(s):  
Sustainable Development ◽  
Community Development ◽  
Social Life ◽  
Development Process ◽  
Living Standards ◽  
Ho Chi Minh City ◽  
Social Characteristics ◽  
Muslim Community ◽  
The Social ◽  
Insight Into

After more than 30 years of national reform, Ho Chi Minh City has made great changes in economy, living standards and society for all population groups, including the Cham Muslim community. The study clarifies the social characteristics, community development trends in the current sustainable development process of the Cham Muslims. At the same time, explore the adaptability of the community, clarify the aspects of social life and the development of Cham Muslims in Ho Chi Minh City. Thereby, providing insight into a unique cultural lifestyle, harmony between religion and ethnic customs, in a multicultural, colorful city in Ho Chi Minh City today.

Study and Comparative Analysis of Existing Recommender Systems

2019 ◽  
Vol 7 (1) ◽  
pp. 262-266
Author(s):  
Sanjay . ◽  
Yogesh Kumar ◽  
Rahul Rishi
Keyword(s):  
Comparative Analysis ◽  
Recommender Systems
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