Jianfang Wang

ORCID: 0000-0002-2394-6224
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About
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Research Areas
  • Maternal Mental Health During Pregnancy and Postpartum
  • Digital Mental Health Interventions
  • Impact of Technology on Adolescents
  • Advanced Database Systems and Queries
  • Web Data Mining and Analysis
  • Recommender Systems and Techniques
  • Advanced Text Analysis Techniques
  • Text and Document Classification Technologies
  • Data Stream Mining Techniques
  • Big Data and Business Intelligence
  • Caching and Content Delivery
  • Big Data Technologies and Applications

Jingzhou Maternal and Child Health Hospital
2022-2023

Henan Polytechnic University
2016

Nanyang Normal University
2014

Chinese Academy of Sciences
2007

Background Despite extensive debates about the mental health impacts of use social networking sites (SNSs), including WeChat, association and mechanisms between interaction WeChat intensity antenatal depression are unclear. Objective We aimed to test mediating roles upward comparison on rumination in depression. Methods A cross-sectional survey was conducted four hospitals with self-reported measures intensity, rumination, depression, control variables. The mediation analysis performed...

10.2196/41793 article EN cc-by Journal of Medical Internet Research 2023-02-21

This article mainly discusses how to extract the interested information from massive amounts of micro-blogs and recommend right user, which is a hot research area in recommendation systems social networks, too.To solve this problem, model called Multi-tags Latent Dirichlet Allocation proposed.Using model, topics paid attention by users can be mined effectively defect low degree differentiation for short blog content settled.Experiments showed that tags user's micro-blog figured out with...

10.2174/1874110x01408011266 article EN The Open Cybernetics & Systemics Journal 2014-12-31

The traditional collaborative filtering algorithm cannot response user interest with time and is lack of effectiveness.These problems lead to poor recommendation quality.On the basis neighbor-based filtering, a fused method improved similarity proposed.To begin with, we compute from global perspectives obtained Jaccard similarity, local Bhattacharyya Coefficient.Furthermore, adopt forgetting curve represent preference, adding weight new update interest.Finally, make prediction by calculating...

10.2991/aiie-16.2016.122 article EN cc-by-nc 2016-01-01

<sec> <title>BACKGROUND</title> Despite extensive debates about the mental health impacts of use social networking sites (SNSs), including WeChat, association and mechanisms between interaction WeChat intensity antenatal depression are unclear. </sec> <title>OBJECTIVE</title> We aimed to test mediating roles upward comparison on rumination in depression. <title>METHODS</title> A cross-sectional survey was conducted four hospitals with self-reported measures intensity, rumination, depression,...

10.2196/preprints.41793 preprint EN 2022-08-10
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