First Batch of Anhui Brandname Products Recommended by Anhui Provincial People's Government

Product NameMagang brand high quality carbon steel,common low carbon steel-made cold/hotrolling coil rod(without twisting control)Magang brand integral roll steel-madepassenger train wheel(φ915mm) forrailway useJingjing brand electrolytic

Generating Recommendation Status of Electronic Products from Online Reviews

The need for effective and efficient mining of online reviews cannot be overemphasized. This position is as a result of the overwhelmingly large number of reviews available online which makes it cumbersome for customers to read through all of them. Hence, the need for online web review mining system which will help customers as well as manufacturers read through a large number of reviews and provide a quick description and summary of the performance of the product. This will assist the customer make better and quick decision, and also help manufacturers improve their products and services. This paper describes a research work that focuses on mining the opinions expressed on some electronic products, providing ranks or ratings for the features, with the aim of summarizing them and making recommendations to potential customers for better online shopping. A technique is also proposed for scoring segments with infrequent features. The evaluation results using laptops demonstrate the effectiveness of these techniques.

Announcement of Shanghai's Namebrand Products Recommendation Committee

Shanghai’s namebrand products recommending activities were launched in 1995 under the approval of the municipal government, with a view to implementing Shanghai’s namebrand strategy, encouraging enterprises to vie for namebrands, and further raising the celebrity and market share for Shanghai’s products. The’Shanghai’s Name-

List of Members for the Shanghai's Namebrand Products Recommendation Committee

Shanghai Economic Commission Shanghai Technology Supervision Bureau Shanghai Administration of Industry and Commerce Shanghai Quality Control Association Shanghai Consumers

Improving Personal Product Recommendation via Friendships’ Expansion

The trust as a social relationship captures similarity of tastes or interests in perspective. However, the existent trust information is usually very sparse, which may suppress the accuracy of our personal product recommendation algorithm via a listening and trust preference network. Based on this thinking, we experiment the typical trust inference methods to find out the most excellent friend-recommending index which is used to expand the current trust network. Experimental results demonstrate the expanded friendships via superposed random walk can indeed improve the accuracy of our personal product recommendation.

Sales Prediction and Product Recommendation Model Through User Behavior Analytics

The COVID-19 has brought us unprecedented difficulties and thousands of companies have closed down.The general public has responded to call of the government to stay at home.Offline retail stores have been severely affected.Therefore,in order to transform a traditional offline sales model to the B2C model and to improve the shopping experience,this study aims to utilize historical sales data for exploring,building sales prediction and recommendation models.A novel data science life-cycle and process model with Recency,Frequency,and Monetary(RFM)analysis method with the combination of various analytics algorithms are utilized in this study for sales prediction and product recommendation through user behavior analytics.RFM analysis method is utilized for segmenting customer levels in the company to identify the importance of each level.For the purchase prediction model,XGBoost and Random Forest machine learning algorithms are used to build prediction models and 5-fold Cross-Validation method is utilized to evaluate their.For the product recommendation model,the association rules theory and Apriori algorithm are used to complete basket analysis and recommend products according to the outcomes.Moreover,some suggestions are proposed for the marketing department according to the outcomes.Overall,the XGBoost model achieved better performance and better accuracy with F1-score around 0.789.The proposed recommendation model provides good recommendation results and sales combinations for improving sales and market responsiveness.Furthermore,it recommend specific products to new customers.This study offered a very practical and useful business transformation case that assists companies in similar situations to transform their business models.

Feasibility Analysis and Policy Recommendations for Production of Hybrid Rice Seed in Foreign Countries

In the economic new normal,production of hybrid rice seed in foreign countries is the necessity for reducing farmland area occupied by seed production,for ensuring national grain security,realizing cost reducing and quality improving of hybrid rice seed,strengthening competitive power at international market,guiding seed industry of China to go out,building transnational seed groups with core competitive power,establishing close relationship with developing countries,promoting the construction of One Belt One Road strategy,serving overall situation of diplomacy,and setting up excellent international image. It is feasible to produce hybrid seed in foreign countries considering( i) high overall national strength of China,( ii) rapid and healthy growth of China's seed industry and increasingly mature hybrid rice seed production technologies,( iii) excellent climatic conditions of foreign host countries of seed production,and( iv) low land and labor price of foreign host countries of seed production. However,there are social and policy risks,technology and trade barrier risks,market,production,and other risks for production of hybrid rice seed in foreign countries. In view of these,it came up with recommendations,including allowing delivering parent seeds of hybrid rice to foreign countries,allowing delivering hybrid rice seed to China,solving the problem of " opening in protection,and protection in opening",and formulating a package of support policies.

Problems in the Innovation of Tobacco Production Organization Mode in Sichuan Province and Recommendations

We summarize the main forms of tobacco production organization in Sichuan Province,including traditional peasant households,large scale growers,family farms,tobacco farmers' associations,and specialized tobacco cooperatives.In the process of innovation of production organization mode,some problems are pointed out,such as lack of management talents and long-term incentive mechanism,lack of standardization in operation,bottleneck in land and financing,low economic benefits of cooperatives,and difficulty in protecting farmers' interests and rights.We put forth the following recommendations for advancing the innovation of tobacco production organization mode in Sichuan Province:forming the longterm mechanism for supporting the innovation of production organization forms;standardizing the operation of the specialized cooperative organizations;strengthening personnel training,and establishing tobacco farmers' principal position;expanding cooperative economic production organizations,and achieving moderate concentration of land size;strengthening information services,to boost the development of cooperative production organizations.

服装个性化定制中信息技术的应用与展望

随着人们个性化需求的不断增加,服装个性化定制已成为时尚发展趋势之一。信息技术在推动服装个性化定制发展中扮演着重要的角色,可以收集和处理用户的个性化信息,并将其转化为具体的设计和生产方案。文章首先对服装产业信息技术的研究进展进行总结,阐述新一代信息技术在服装产业的应用情况;其次分析了信息技术在服装个性化定制领域的应用现状,按照定制流程分别总结信息技术在提高生产效率、降低成本和满足用户需求方面的优势及不足;最后根据目前服装个性化定制在数据共享、协同设计和柔性生产等方面的需求,从建模技术和系统平台构建两个方面对服装个性化定制发展进行展望。

浙江省优质颗粒形绿茶产业发展现状与思考

颗粒形绿茶是浙江省绿茶的重要品类,团队在调研浙江省优质颗粒形绿茶生产状况、加工工艺和设备、品质现状及标准建设的基础上,研制了浙江省茶叶学会颗粒形绿茶团体标准,对浙江省优质颗粒形绿茶产业的后续发展进行了思考和建议,可为浙江省颗粒形绿茶产业健康有序发展提供参考。

基于Kano模型和亲和图法的地域性刺绣产品需求研究

目的探讨中国传统地区刺绣产品如何实现更高的消费者满意度,并为该产品如何实现更多元化的顾客感受提出创新设计的建议。方法围绕消费者需求偏好,综合采用田野调查、亲和图法、问卷调查法,并结合使用Kano模型、Better-Worse系数、四象限分析法,以及其他相关研究方法,从产品设计、产品生产、产品性能、产品文化四个需求纬度出发,全面准确地把握消费者对刺绣产品的需求。结果消费者更加看重产品本身的文化属性和产品所提供的优质服务,同时消费者对服务的感受和满足程度会受到一些因素的影响,如绣活文化的保留程度,或是否有独特的个人定制体系。结论通过Kano模型和亲和图法了解了消费者的真实需求,并且能够更好地实现这些需求。这种方式不仅能够增强消费者的满意度,实现区域特色刺绣产品的传播与普及,也为地域性刺绣产品设计提供了新思路。

我国化妆品产品稳定性研究与管理现状的探讨

化妆品的稳定性是评价化妆品质量与安全的重要因素,也是化妆品使用性与功效性的保障。本文对比了全球化妆品稳定性研究的监管体系和稳定性文件情况,梳理了国内化妆品产品有效期、稳定性及监管等相关文件的内容。通过对“监管、协会和企业”三个板块电子问卷调查结果,分析我国目前化妆品产品稳定性研究现状,发现工作开展面临的主要问题。借鉴国外化妆品产品稳定性研究的经验及我国食品药品等行业领域产品稳定性研究情况,对我国化妆品产品稳定性研究方向、技术文件的制定和监管服务提出建议。

利用图神经网络的互补产品推荐

互补产品推荐可以提供互补搭配的产品,为用户提供便利。然而现有使用图神经网络的工作忽视了产品的多模态信息,以及多模态模型在模态信息缺失时性能会受到影响。现有多模态模型只是将模态简单拼接,忽略了模态间的联系。因此,提出了一种利用图神经网络的互补产品推荐模型(complementary product recommendation using graph neural network,CPRUG)。该模型将图神经网络与多模态信息结合,强化产品的表征;利用图注意力网络,应对多模态缺失问题,维持模型的性能,提高模型的鲁棒性;使用共同注意力机制和矩阵分解双线性池化方法来融合多模态特征,学习产品的互补关系。在Amazon数据集上进行了实验,实验结果表明,模型的性能优于其他基线模型。

产供储销体系高效运转,保供稳价工作持续推进——2023年煤炭供需形势分析及2024年展望

2023年,我国能源增产保供政策继续发力,煤炭产能结构持续优化,煤炭进口量大幅提升,供需关系得到有效改善,市场价格稳中有降。2024年,预计我国将进一步加快煤炭优质产能释放,进口量继续维持高位水平,推动市场更加趋于宽松。

基于农产品特征混合推荐的用户标签应用研究

随着互联网的发展,农产品在电子商务市场的竞争也愈演愈烈,用户无法从众多的农产品信息中找到适合自身的偏好。针对这一问题,本研究旨在分析农产品特征的本体知识的语义检索,构建农产品的具体特征知识体系,并深入解析用户标签的构建、用户画像刻画的维度与场景,在此基础上归纳用户标签、用户场景画像对于农产品特征因子的结合关联。考虑通过采集用户行为及运用活标签,提出基于协同过滤改进TF-IDF计算权重权值;注重用户兴趣偏好推荐算法的对农产品特征混合推荐系统框架进行设计,过滤出用户、物品的隐含关联内容,召回用户偏好的农产品,再以逻辑回归法LR推荐的农产品的特征排序,从而推荐给用户Top N的农产品。该算法融入农产品特征知识本体,结合内容与矩阵分解的混合推荐方法,以达到在最短时间内为消费者推荐更精准的农产品,为进一步深化促进农村第一产业的竞争力和效益、增加农户收入、扩大农产品信息化领域发展提供具有重要意义的应用借鉴。

黑龙江省工业大麻生产机械化现状及研发建议

工业大麻是一种经济价值极高的纤维型农作物,在纺织、医药、日化、建筑等领域有较多应用。黑龙江省是我国工业大麻主产区,现存在工业大麻生产中机械化水平低的问题。该文论述了发展工业大麻产业的意义,阐述了国内外工业大麻生产机械化现状,从中查找我国与国外发达国家的差距,针对我国工业大麻机械化生产存在的薄弱环节,提出了黑龙江省工业大麻机械化发展趋势及研发建议,为促进工业大麻生产全程机械化水平提升提供参考。

硫磺制酸装置的腐蚀分析和热能分析

在“碳达峰”“碳中和”重大战略决策背景下,硫磺制酸装置既要保证安全运行,又要追求经济性极限。介绍了硫磺制酸装置的工艺流程,分析了低温烟气露点腐蚀和干吸工序浓酸腐蚀的原因,计算了装置的热能来源和去向,并有针对性地提出了降低腐蚀和增加热能回收的建议。

新质生产力赋能高校思想政治工作的路径研究

高校是新质生产力发展的助推器,而思想政治工作是各项工作的生命线。新质生产力赋能高校思想政治工作,要深刻认识和把握技术逻辑、政治逻辑和现实逻辑。当前,新质生产力赋能高校思想政治工作仍存在着多元文化背景下的价值冲突、思想政治教育话语权威削弱、数字技术与思政贯通性不足等各种困境。在新质生产力发展的视域下,需要加强技术研发丰富思政教育工作新资源,基于思政教育价值引领算法推荐新形态,完善人才队伍建设探索人才培养新范式。

基于细粒度特征交互选择网络的农产品推荐算法

在数字化的时代里,越来越多人偏爱在电商平台购物,随着农产品电商平台的发展,消费者面对众多选择时难以找到适合自己的产品.为了提高用户满意度和购买意愿,农产品电商平台需要根据用户的兴趣偏好向其推荐合适的农产品.考虑到季节、地域、用户兴趣和农产品属性等多种农业特征,通过特征交互可以更好地捕捉用户需求.传统的点击通过率CTR (click through rate)预测模型只关注用户评分,以简单的方式计算特征交互,而忽略了特征交互的重要性.本文提出了一种名为细粒度特征交互选择网络FgFisNet (fine-grained feature interaction selection networks)的新模型.该模型通过引入细粒度交互层和特征交互选择层,组合内积和哈达玛积有效地学习特征交互,然后在训练过程中自动识别重要的特征交互,并删除冗余的特征交互,最后将重要的特征交互和一阶特征输入到深度神经网络,得到最终的CTR预测值.在农产品电商真实数据集上进行广泛的实验,FgFisNet方法取得了显著的经济效益.

认证认可制度支撑农产品质量作用研究及建议

由于我国逐渐高度重视农产品质量源头把控,持续健全农产品质量认证认可制度,使得农产品产量与质量都实现了连年增长,但也出现许多问题。因此,本文简要阐述了我国农业结构的基本特点与农产品认证认可制度的发展历程,进而具体分析农产品质量认证认可制度的发展矛盾与现存问题,并根据问题的成因分析,有针对性地提出完善我国农产品认证认可制度的发展建议。