Web Service下的商品推荐系统的研究与实现

基于电子商务平台的Web service已经是广大消费者购买或者浏览商品的主要形式之一．但是,网络上的海量信息也给我们带来了很多不便．对于用户来说,如何及时地发现所需要的商品已经变得越来越困难．本文综合运用了关联挖掘、智能推荐算法等机器学习方法提出了一个Web Service下的产品智能推荐Agent模型：Smart Recommendation,该系统通过对用户的历史交易记录的分析,挖掘出客户的购买模式和购买兴趣,并根据发现的模式对用户进行商品的智能推荐．实验结果表明,推荐模型具有较高的准确性,并且对用户的购买行为有一定的指导作用．     

“天然产物分离技术”在食品专业讲授中教学内容优化探索

“天然产物分离技术”本是生物技术、医药等专业的一门重要的必修课。近年来,随着天然产物产业迅速发展,天然产物分离技术的发展和应用成为新技术开发的热点之一,如今已成为食品专业的一门重要的专业选修课。该课程的知识点零散,且需要学生具有扎实的化学基础,食品专业学生要想完全掌握难度很大。因此,在给食品专业学生教学的过程中,要不断优化教学内容,使该课程能够被食品专业学生掌握并应用到科研实践中,取得良好的教学效果。     

人工神经元的定性映射模型与定性转化函数

文章将属性量—质特征转化归结为一个定性映射 ,证明了该映射等价于一个人工神经元 ,给出了一个定性映射函数。     

毛茛科金莲花族和升麻族细胞学的比较研究

对毛茛科金莲花族Trolliese和升麻族Cimicifugeae的细胞学进行了比较研究。发现驴蹄草Caltha palustris L．在云南西北部形成一个多倍体系列(2n=32，48，64)，四倍体细胞型(2n=4x=32)较为常见，其核型有明显的居群间变异。驴蹄草属Caltha、鸡爪草属Calathodes、Megaleranthis以及金莲花属Trollius的染色体在大小上基本相似，都属于中等大小的R-型染色体。细胞学和花粉学证据都支持鸡爪草属与Megaleranthis和金莲花属有较近的亲缘关系。铁破锣属Beesia、Anemonopsis、黄三七属Souliea、升麻属Cimicifuga以及类叶升麻属Actaea的核型彼此基本相似，在染色体大小和形态上都与驴蹄草属、鸡瓜草属、Megaleranthis以及金莲花属的核型明显有别。细胞学证据表明铁破锣属应是升麻族中的成员。     

Capturing the form of feature interactions in black-box models

Detecting feature interactions is an important post-hoc method to explain black-box models. The literature on feature interactions mainly focus on detecting their existence and calculating their strength. Little attention has been given to the form how the features interact. In this paper, we propose a novel method to capture the form of feature interactions. First, the feature interaction sets in black-box models are detected by the high dimensional model representation-based method. Second, the pairwise separability of the detected feature interactions is determined by a novel model which is verified theoretically. Third, the set separability of the feature interactions is inferred based on pairwise separability. Fourth, the interaction form of each feature in product separable sets is explored. The proposed method not only provides detailed information about the internal structure of black-box models but also improves the performance of linear models by incorporating the appropriate feature interactions. The experimental results show that the accuracy of recognizing product separability in synthetic models is 100%. Experiments on three regression and three classification tasks demonstrate that the proposed method can capture the product separable form of feature interactions effectively and improve the prediction accuracy greatly.     

A twin data-driven approach for user-experience based design innovation

Data-driven innovation has received increasing attention, which explores big data technologies to gain more insights and advantages for product design. In user experience (UX) based design innovation, user-generated data and archived design documents are two valuable resources for various design activities such as identifying opportunities and generating design ideas. However, these two resources are usually isolated in different systems. Additionally, design information typically represented based on functional aspects is limited for UX-oriented design. To facilitate experience-oriented design activities, we propose a twin data-driven approach to integrate UX data and archived design documents. In particular, we aim to extract UX concepts from product reviews and design concepts from patents respectively and to discover associations between the extracted concepts. First, a UX-integrated design information representation model is proposed to associate capabilities with key elements of UX at the concept, category, and aspect levels of information. Based on this model, a twin data-driven approach is developed to bridge experience information and design information. It contains three steps: experience aspect identification using an attention-based LSTM (Long short-term memory) network, design information categorization based on topic clustering using BERT (Bidirectional Encoder Representations from Transformers) and LAD (Latent Dirichlet allocation) model, and experience needs and design information integration by leveraging word embedding techniques to measure concept similarity. A case study using healthcare-related experience and design information has demonstrated the feasibility and effectiveness of this approach.     

基于博弈分析的煤炭城市共生产业链产品定价研究

煤炭城市共生产业链是否稳定受到诸多因素的影响。根据国内学者应用合作博弈中Shapley值对共生产业链稳定性的相关分析,综合有关微观经济学理论可知产品价格对链内企业经济收益影响最大,进而影响共生产业链稳定。"链内产品价格联盟"的存在符合共生产业链的企业链内合作、链外竞争的特点,为了探究此价格联盟是否存在及其影响因素,假设产品的链内外价格存在一定差距,应用产品的链外价格等于链内价格与链内外差价之和的价格结构,以煤炭城市横线耦合共生产业链中最具代表性的和共栖互利型的煤矸石—火电共生产业链为例,构建煤炭企业和火电企业的产品价格博弈模型,通过博弈均衡解的分析得到共生产业链产品定价特点、价格差存在的影响因素及影响方式等结果。在上述分析基础之上针对共生产业链产品定价得出了链内价格只与链内企业相关、价格差是否存在受链内外企业共同影响的结论,提出了提高能源和资源利用效率、降低物流成本将更有助于企业获利从而稳定共生产业链等建议。     

Design and performance attributes driving mobile travel application engagement

Increasing people are using mobile applications (apps) for information and activities related to their travel and tourism. Therefore, customer engagement (customer attraction and retention) with mobile travel applications becomes extremely important for travel-related companies. However, there is little empirical research on what factors may drive customers’ engagement of using mobile travel apps. This study proposes a research framework, based on the Stimulus-Organism-Response (S-O-R) model, to explore how and to what extent two types of app attributes (i.e., app design and app performance attributes) stimulate travel apps engagement. Based on a user acceptance testing (UAT testing) of a real travel app development project, the study uses survey data from 804 tourists to validate the proposed research model. The results reveal different effectiveness of app design and app performance attributes, and demonstrate that two app design features (i.e., user interface attractiveness and privacy/security) and three app performance attributes (i.e., compatibility, ease of use, and relative advantages) are important drivers of users’ behavioral engagement of mobile travel apps. Further, psychological engagement and three types of benefit perception (i.e., hedonic benefit, utilitarian benefit, and social benefit) serially mediate the relationships. The results can be used to improve the related mobile app engagement research and the mobile travel app design.     

求解奇异线性方程组的双逐次投影法

用双逐次投影迭代法来求解奇异线性方程组,当线性方程组的系数矩阵是对称半正定时,给出了不同情形时有关参量的选取以及相应的算法,并就收敛结果分别与雅可比迭代法和Gauss-Seidel迭代法进行了比较,数值结果表明,该方法对求解奇异线性方程组是很有效的.     

辽宁省文化旅游发展问题研究

辽宁省拥有十分丰富的文化旅游资源,且独具特色,在区位和交通方面优势明显,综合开发条件优越,为发展文化旅游奠定了良好的基础。本文在研究文化旅游发展现状的基础上,对辽宁省文化旅游资源进行梳理和评价,并结合辽宁省文化旅游开发的实际情况,具体对辽宁省文化旅游发展空间格局、产品开发、市场营销和发展环境等方面作以分析研究,提出具体的发展策略,力争为辽宁文化旅游的发展开启新思路。