The obligation to provide “non-personalised” search results under the Chinese E-commerce law

Ge, Jiangqiu; Chen, Li

doi:10.1016/j.clsr.2021.105568

Cited by 2 publications

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“…It regulates many issues of social concern. However, the inability of the law to keep pace with digital advancements is compounded by outdated rationales and traditional practices (Wu et al, 2021), and new issues keep emerging (Ge and Chen, 2021). In addition, the responsibility for protecting intellectual property rights undertaken by ecommerce platforms is too great, and the participation of other entities is limited, which has also led to inadequate supervision (Damanpour and Damanpour, 2001).…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis of the Social Co-governance of E-Commerce Intellectual Property Protection

Chun-ming

Huang

2022

Front. Psychol.

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By introducing the theory of social co-governance into the field of e-commerce intellectual property protection, this paper builds an evolutionary game model among the government, e-commerce platforms, and rights holders, and studies the conditions under the stakeholders form a stable equilibrium state under different constraints. Combined with numerical simulation, the influence of individual factors and factor combinations on the system stability is analyzed. Results shows that: Strictly controlling the action costs and response costs of all parties can enhance their willingness to actively deal with infringement issues; reasonable adjustment of the reward and punishment measures of government supervisory agencies can produce sufficient reverse shock and positive guidance to platform and operators; penalties should be imposed on government supervisory agencies that are not sufficiently supervised; strengthen the construction of the social environment for intellectual property protection, improve the social benefits of actively responding to infringement issues, and increase the sense of acquisition by the government, platforms and rights holders. And it provides certain positive references and suggestions for the government to formulate relevant policies.

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Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis of the Social Co-governance of E-Commerce Intellectual Property Protection

Chun-ming

Huang

2022

Front. Psychol.

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Discover Customers’ Gender From Online Shopping Behavior

Meng

2022

IEEE Access

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Gender information is very important for the recommendation system in the online shopping website. However, gender data often face label missing and incorrect labelling problems caused by consumers' unwillingness to actively disclose personal information, which leads to gender estimation results that cannot meet the needs of the product recommendation system. To discover the customers' gender information, we explore the customers' online shopping behavior, especially the items viewed in the shopping session, from the dataset provided by Vietnam FPT Group. The dataset is very imbalanced while the number of female samples is 3× of the male samples. To address the imbalance issue, we cluster the female samples into three subsets and then train a two-layer classifier model to estimate the customers' gender. Experimental results demonstrate that our proposed method could achieve a combined accuracy 78% on average, and takes less than 6 seconds on average. As a data mining model for gender prediction, our approach has a lightweight network structure and less time consumption.

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The obligation to provide “non-personalised” search results under the Chinese E-commerce law

Cited by 2 publications

References 0 publications

Evolutionary Game Analysis of the Social Co-governance of E-Commerce Intellectual Property Protection

Evolutionary Game Analysis of the Social Co-governance of E-Commerce Intellectual Property Protection

Discover Customers’ Gender From Online Shopping Behavior

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