Interior Design Scheme Recommendation Method Based on Improved Collaborative Filtering Algorithm

The recommendation engine is similar to the function of the product recommender in our real life, which provides great convenience for people to choose the appropriate decoration scheme in the process of interior design and decoration. A home improvement website or company can design a suitable recommendation algorithm to provide home improvement program recommendation services for users with decoration needs. After understanding the user behavior of the home decoration website, this paper proposes an interior design scheme recommendation method based on an improved collaborative filtering algorithm. The method designs a collaborative filtering algorithm that combines multilayer hybrid similarity and trust mechanisms. Fuzzy set membership function is introduced to correct users’ rating similarity, and users’ interest vector is extracted to calculate users’ preference for different types of items. The algorithm dynamically fuses those two aspects to obtain the mixed similarity of users; meanwhile, the user’s hybrid similarity and trust are fused in an adaptive model. Then, the user neighbor data set generated based on the overall similarity of users is used as a training set, taking the item scores and features into consideration. On the one hand, the users and the projects are taken into account as well. The final prediction score is more accurate, and the recommendation effect is better. The experimental results show that this method can recommend interior design schemes with high performance, and its performance is better than other methods.

Using Machine Learning to Compare the Information Needs and Interactions of Facebook: Taking Six Retail Brands as an Example

This study explores the interactive characteristics of the public, referencing existing data mining methods. This research attempts to develop a community data mining and integration technology to investigate the trends of global retail chain brands. Using social media mining and ensemble learning, it examines key image cues to highlight the various reasons motivating participation by fans. Further, it expands the discussion on image and marketing cues to explore how various social brands induce public participation and the evaluation of information efficiency. This study integrates random decision forests, extreme gradient boost, and adaboost for statistical verification. From 1 January 2011 to 31 December 2019, the studied brands published a total of 25,538 posts. The study combines community information and participation in its research framework. The samples are divided into three categories: retail food brand, retail home improvement brand, and retail warehouse club brand. This research draws on brand image and information cue theory to design the theoretical framework, and then uses behavior response factors for the theoretical integration. This study contributes a model that classifies brand community posts and mines related data to analyze public needs and preferences. More specifically, it proposes a framework with supervised and ensemble learning to classify information users′ behavioral characteristics.

Collaborative Tax Evasion in the Provision of Services to Consumers: A Field Experiment

We conduct a field experiment with sellers of home improvement services on two German online markets. We take the role of consumers and vary whether we request an invoice for the delivery of the service. In a market that allows anyone to sell anonymously, a willingness to evade is prevalent. In a market that keeps track of credentials, sellers are only willing to evade when a willingness to collude is signaled. The evasion discount is in most estimates not larger than the tax subsidy for legal demand. Evasion is unlikely to be beneficial for many consumers in our setting. (JEL C93, H25, H26, L84)

Research on Computer Assisted Intelligent Emission System of High-rise Building Based on BIM Technology and Wireless Automatic Monitoring

In response to the needs of low-carbon design and carbon emission measurement of public buildings, we use advanced information tools, building information model BIM technology to solve these problems, and from the perspective of strategic development, we will establish a set of home improvement design systems based on BIM technology for unification Three-dimensional home improvement design. The system includes analysis of thermal performance of high-rise building decoration and building light environment, and proposes optimization countermeasures for low-carbon design.

Tools of Creating Emotional Climate in Knowledge-Based Television Space

The relevance of the article is due to the need to comprehend and identify the specifics of the formation of emotional mood in modern knowledge-based TV texts of an advisory nature. It will make possible to better understand the specifics of educational genres. The purpose of the work is to establish and describe the repertoire of tools for the formation of emotional mood and linguistic means of their representation in a knowledge-based television discourse. The research material was TV broadcasts of thematic groups as follows: leisure, health and healthy lifestyle, home improvement, food, driving, beauty and fashion. The corpus of the texts under analysis is represented by advisory-instructive and informative-demonstrative genres. The novelty of the research lies in the fact that in the texts that broadcast everyday, practical knowledge, tools are recorded and described that simulate the emotional mood of the viewer in the process of learning process. The research reveals that the textual representatives of the advisory and instructive genres of relaxation and hedonistic themes construct an impressions and pleasure zone. At the same time, the accents of texts describing ways of behavior in danger-associated situations (for example, health topics) are focused on regulating the mood and emotions of the media audience. Such texts are constructed based on an emotionally sensual modality that swings the viewer's emotions from negative to positive. The formation of such a diverse emotional tone is aimed at creating a positive attitude towards specific health improvement actions, as well as encouraging adherence to the rules of a healthy lifestyle in society. The article describes the triggers that produce positive and negative emotions, as well as tools for their activation in the text (the image of the author and the image of the addressee; genres of everyday communication, designed in a friendly-informal register; linguistic means). The research reveals functions of impression producing (attracting attention, positive emotional modeling, formation of a positive attitude to the object of expression and persuasive influence) and regulation of emotional mood (socially stabilizing, regulation of behavior, persuasive influence).

Factors Affecting the Intention of Multi-Family House Residents to Age in Place in a Potential Naturally Occurring Retirement Community of Seoul in South Korea

This study reveals residents’ willingness to live in their current homes and communities and analyzes the factors related to their willingness to age in place in South Korea. Using a questionnaire survey method, data of 289 residents aged 55 or older were collected in apartment areas with the potential to become naturally occurring senior communities in Seoul. Data were analyzed using descriptive statistics, correlation tests, t-test, ANOVA, factor analysis, and regression analysis by SPSS 26.0, and the findings were followed up. Housing services are very important in aging communities. Physical environment-oriented residential services promote a safe walking environment, facilities to support the elderly, a secure complex environment, a home-safety accident-prevention diagnosis service, home improvement, and home improvement support. Multiple regression analysis showed that residential services or elderly education and activity support services influence aging in place, which is a novel finding revealed in this study.