Dynamic Preferences and the Case Against Sin Taxes

2020 ◽  
Author(s):  
Charles Delmotte ◽  
Malte F. Dold
Keyword(s):  
Sin Taxes ◽  
Dynamic Preferences

Sin taxes

Society ◽  
2004 ◽  
Vol 41 (3) ◽  
pp. 59-65 ◽  
Author(s):  
Peter Lorenzi
Keyword(s):  
Sin Taxes

scholarly journals Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification

2019 ◽  
Vol 33 ◽  
pp. 5458-5465 ◽  
Author(s):  
Dongbo Xi ◽  
Fuzhen Zhuang ◽  
Yanchi Liu ◽  
Jingjing Gu ◽  
Hui Xiong ◽  
...  
Keyword(s):  
Large Scale ◽  
Real Life ◽  
Location Prediction ◽  
Temporal Dependence ◽  
Great Opportunity ◽  
Mobility Data ◽  
Proposed Model ◽  
Poi Recommendation ◽  
Spatio Temporal ◽  
Dynamic Preferences

Human mobility data accumulated from Point-of-Interest (POI) check-ins provides great opportunity for user behavior understanding. However, data quality issues (e.g., geolocation information missing, unreal check-ins, data sparsity) in real-life mobility data limit the effectiveness of existing POIoriented studies, e.g., POI recommendation and location prediction, when applied to real applications. To this end, in this paper, we develop a model, named Bi-STDDP, which can integrate bi-directional spatio-temporal dependence and users’ dynamic preferences, to identify the missing POI check-in where a user has visited at a specific time. Specifically, we first utilize bi-directional global spatial and local temporal information of POIs to capture the complex dependence relationships. Then, target temporal pattern in combination with user and POI information are fed into a multi-layer network to capture users’ dynamic preferences. Moreover, the dynamic preferences are transformed into the same space as the dependence relationships to form the final model. Finally, the proposed model is evaluated on three large-scale real-world datasets and the results demonstrate significant improvements of our model compared with state-of-the-art methods. Also, it is worth noting that the proposed model can be naturally extended to address POI recommendation and location prediction tasks with competitive performances.

Time Series Geographic Social Network Dynamic Preference Group Query

2021 ◽  
Vol 13 (4) ◽  
pp. 18-39
Author(s):  
Yinglian Zhou ◽  
Jifeng Chen
Keyword(s):  
Time Series ◽  
Social Network ◽  
Social Impact ◽  
Network Models ◽  
User Preferences ◽  
Network Dynamic ◽  
Tree Index ◽  
Query Algorithm ◽  
Value Model ◽  
Dynamic Preferences

Driven by experience and social impact of the new life, user preferences continue to change over time. In order to make up for the shortcomings of existing geographic social network models that often cannot obtain user dynamic preferences, a time-series geographic social network model was constructed to detect user dynamic preferences, a dynamic preference value model was built for user dynamic preference evaluation, and a dynamic preferences group query (DPG) was proposed in this paper . In order to optimize the efficiency of the DPG query algorithm, the UTC-tree index user timing check-in record is designed. UTC-tree avoids traversing all user check-in records in the query, accelerating user dynamic preference evaluation. Finally, the DPG query algorithm is used to implement a well-interacted DPG query system. Through a large number of comparative experiments, the validity of UTC-tree and the scalability of DPG query are verified.

scholarly journals The implications of heterogeneous habit in consumer beverage purchases on soda and sin taxes

Food Policy ◽  
2019 ◽  
Vol 84 ◽  
pp. 111-120
Author(s):  
Wenying Li ◽  
Jeffrey H. Dorfman
Keyword(s):  
Sin Taxes

The moral grounds of sin taxes

Society ◽  
2006 ◽  
Vol 44 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Peter Lorenzi
Keyword(s):  
Sin Taxes
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