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Journal articles on the topic 'Restaurant aggregation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Abdullah, Lazim, Noor Azzah Awang, and Mahmod Othman. "Application of Choquet Integral-Fuzzy Measures for Aggregating Customers’ Satisfaction." Advances in Fuzzy Systems 2021 (September 21, 2021): 1–8. http://dx.doi.org/10.1155/2021/2319004.

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Choquet integral is a type of aggregation operator that is commonly used to aggregate the interrelated information. Nowadays, this operator has been successfully embedded with fuzzy measures in solving various evaluation problems. Inspired from this new development, this paper aims to introduce a combined Choquet integral-fuzzy measures (CI-FM) operator that uses the Shapley value standard and interaction index to deal with the interactions between elements of information. The proposed operator takes into account not only the importance of elements or their ordered positions but also the inter

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N, Vinoth Kumar, Radhivarma K S, Sachin B, and Guide:Mrs M. Kirubadevi AP. "Food Picky Restaurant Aggregation and Food Ordering Web Application." International Journal of Research Publication and Reviews 5, no. 3 (2024): 5143–248. http://dx.doi.org/10.55248/gengpi.5.0324.0819.

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Gogu, Sandeep, Sudheendra Kurakula, K. Sreekala Dr., Poornima P., Musrat Sultana N., and A. Nagesh Dr. "Online Food Ordering Website." Recent Trends in Information Technology and its Application 8, no. 3 (2025): 46–55. https://doi.org/10.5281/zenodo.15532357.

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<em>In the rapidly expanding internet food ordering platform space, companies such as Swiggy and Zomato have changed the way consumers eat and buy food. But there is one big chokepoint in existing systems: the customer cannot order a composite order of products from more than one restaurant. There must be multiple orders, with a longer delivery cost, increased waiting time, and even fractured customer experience. Our project is intended to fill this gap by creating a new food ordering website online where people can order various foods from various restaurants in one combined order. </em> <em>

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Pérez-Almaguer, Yilena, Edianny Carballo-Cruz, Yailé Caballero-Mota, and Raciel Yera. "Exploring content-based group recommendation for suggesting restaurants in Havana City." JUCS - Journal of Universal Computer Science 30, no. 1 (2024): 106–29. http://dx.doi.org/10.3897/jucs.104838.

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Recommender systems (RSs) are a relevant kind of artificial intelligence-based systems focused on providing users with the information that best fit their preferences and needs in a search space overloaded of possible options. Specifically, group recommender systems (GRSs) are a special type of RS centered on recommending items that are consumed in groups and not individually, being TV program and touristic packages key examples of such items. The current work is focused on proposing a content-based group recommendation approach (CB-GRS) contextualized to the restaurant recommendation domain.

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Pérez-Almaguer, Yilena, Edianny Carballo-Cruz, Yailé Caballero-Mota, and Raciel Yera. "Exploring content-based group recommendation for suggesting restaurants in Havana City." JUCS - Journal of Universal Computer Science 30, no. (1) (2024): 106–29. https://doi.org/10.3897/jucs.104838.

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Recommender systems (RSs) are a relevant kind of artificial intelligence-based systems focused on providing users with the information that best fit their preferences and needs in a search space overloaded of possible options. Specifically, group recommender systems (GRSs) are a special type of RS centered on recommending items that are consumed in groups and not individually, being TV program and touristic packages key examples of such items. The current work is focused on proposing a content-based group recommendation approach (CB-GRS) contextualized to the restaurant recommendation domain.

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Xu, Sheng. "Intelligent Optimization Algorithm for Chain Restaurant Spatial Layout Based on Generative Adversarial Networks." Journal of Industrial Engineering and Applied Science 3, no. 3 (2025): 32–41. https://doi.org/10.70393/6a69656173.333031.

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This research presents an intelligent optimization algorithm framework for chain restaurant spatial layout generation based on Generative Adversarial Networks (GANs). Contemporary restaurant design methodologies rely on subjective expertise and static planning approaches that inadequately address dynamic operational requirements and evolving consumer preferences. The proposed GAN-based architecture incorporates a dual-generator framework with progressive upsampling modules and multi-head attention mechanisms specifically designed for restaurant spatial optimization. The multi-objective optimiz

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Megalia, Ujang Sumarwan, and Imam Teguh Saptono. "Analisis Strategi Bauran Promosi terhadap Volume Penjualan Restoran XYZ." MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah 12, no. 2 (2018): 161. http://dx.doi.org/10.29244/mikm.12.2.161-169.

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This study examines the strategic influence of promotion mix on the volume of aggregation and to know whether the marketing mix run by the Restaurant XYZ affect consumer spending. The theory used in this research is the promotion mix. The research design was conduced with a quantitative descriptive approach through an interview using quisionaire. Sampling method used is a purposive sampling technique with the number of respondents counted 200 people. In this study measure the influence caused by the promotion mix variables such as advertising, personal selling, sales promotion, public relation

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Sauper, C., and R. Barzilay. "Automatic Aggregation by Joint Modeling of Aspects and Values." Journal of Artificial Intelligence Research 46 (January 31, 2013): 89–127. http://dx.doi.org/10.1613/jair.3647.

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We present a model for aggregation of product review snippets by joint aspect identification and sentiment analysis. Our model simultaneously identifies an underlying set of ratable aspects presented in the reviews of a product (e.g., sushi and miso for a Japanese restaurant) and determines the corresponding sentiment of each aspect. This approach directly enables discovery of highly-rated or inconsistent aspects of a product. Our generative model admits an efficient variational mean-field inference algorithm. It is also easily extensible, and we describe several modifications and their effect

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Liu, Z., J. Wu, H. Li, and M. Werner. "SPATIO-TEMPORAL ANALYSIS OF URBAN ECONOMIC RESILIENCE DURING COVID-19 WITH MULTILAYER COMPLEX NETWORKS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 361–68. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-361-2023.

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Abstract. The COVID-19 pandemic has impacted the economic growth of almost every country, with many industries facing operational difficulties, and the failures of a large number of restaurants, in particular, have extensively tested the resilience of urban economies. The gastronomy business is one of the most decentralized and location-based consumer business in urban, which is highly related to the economic attributes of cities. However, there are few studies on quantitative analysis of urban economic resilience through the opening and closing of restaurants. Understanding and planning for t

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Pépin, Jean Louis, Rosa Maria Bruno, Rui-Yi Yang, et al. "Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis." Journal of Medical Internet Research 22, no. 6 (2020): e19787. http://dx.doi.org/10.2196/19787.

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Background In the context of home confinement during the coronavirus disease (COVID-19) pandemic, objective, real-time data are needed to assess populations’ adherence to home confinement to adapt policies and control measures accordingly. Objective The aim of this study was to determine whether wearable activity trackers could provide information regarding users' adherence to home confinement policies because of their capacity for seamless and continuous monitoring of individuals’ natural activity patterns regardless of their location. Methods We analyzed big data from individuals using activ

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El Hannach, Hajar, and Mohammed Benkhalifa. "A New Semantic Relations-Based Hybrid Approach for Implicit Aspect Identification in Sentiment Analysis." Journal of Information & Knowledge Management 19, no. 03 (2020): 2050019. http://dx.doi.org/10.1142/s0219649220500197.

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Within the next few years, sentiment analysis or opinion mining is set to become an important component of real-world applications for product manufacturers, e-commerce companies, and potential customers. Sentiment analysis deals with the computational assessment of people’s opinions apparent or hidden within the text according to three levels: document, sentence and aspect levels. The aspect-level is increasingly becoming an active phase of sentiment analysis. At this level, the aim is to determine the hidden target of opinion represented in datasets, known as aspect term identification. This

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Rodrigues, Paula, Ana Sousa, Joel Vaz, and Paulo Riberio. "Opinion Aggregator Platforms In The Restaurant Sector." European Conference on Social Media 10, no. 1 (2023): 218–22. http://dx.doi.org/10.34190/ecsm.10.1.1237.

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This work intends to understand to what level consumers collect information before going to a restaurant and if they know and use online Apps for gathering information and restaurants reservation, and above all, what if they trust in these Apps. To understand consumer trust in online platforms, a set of variables was established with emphasis on consumer happiness with the experience, consumer satisfaction, online brand relationship, online brand experience, and time availability. We used a quantitative methodology – PLS-SEM - and data was gathering by an online survey collected in May 2021, f

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Ramadan, Zahy, and Jana Kanso. "Zomato: shaping the future of food." Emerald Emerging Markets Case Studies 13, no. 1 (2023): 1–16. http://dx.doi.org/10.1108/eemcs-06-2022-0214.

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Learning outcomes The learning outcomes are as follows: 1. assess and evaluate the challenges affecting a mobile food aggregator platform’s business model and its effect on the customer journey in a developing market; 2. understand the relationship between the different stakeholders on such platform, namely, restaurants, end-users and the platform itself, and its implication on the customer journey; and 3. develop different potential marketing strategies under that business context that can be implemented and replicated in a given emerging market. Case overview/synopsis Zomato is an online res

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Jia, Susan (Sixue). "Analyzing Restaurant Customers’ Evolution of Dining Patterns and Satisfaction during COVID-19 for Sustainable Business Insights." Sustainability 13, no. 9 (2021): 4981. http://dx.doi.org/10.3390/su13094981.

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Observing and interpreting restaurant customers’ evolution of dining patterns and satisfaction during COVID-19 is of critical importance in terms of developing sustainable business insights. This study describes and analyzes customers’ dining behavior before and after the pandemic outbreak by means of statistically aggregating and empirically correlating 651,703 restaurant-user-generated contents posted by diners during 2019–2020. Twenty review topics, mostly food, were identified by latent Dirichlet allocation, whereas analysis of variation and rating-review regression were performed to explo

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P, Vinish, Prakash Pinto, Iqbal Thonse Hawaldar, and Slima Pinto. "Antecedents of behavioral intention to use online food delivery services: an empirical investigation." Innovative Marketing 17, no. 1 (2021): 1–15. http://dx.doi.org/10.21511/im.17(1).2020.01.

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The online food delivery market in India perseveres to grow at a sustained pace. The business has unique dynamics and challenges with the spike in orders during weekends, meeting delivery schedules during peak demand, offering deep discounts to address wavering customer loyalty, reducing cash burns, and managing food quality inconsistency. In contrast, the fast-paced life and the rise of millennials in the workforce is likely to assure a promising future for the food aggregators. The above backdrop has led the researchers to pursue this study. An empirical study was carried out to explore the

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Niu, Yue, Hongjie Zhang, and Jing Li. "A Nested Chinese Restaurant Topic Model for Short Texts with Document Embeddings." Applied Sciences 11, no. 18 (2021): 8708. http://dx.doi.org/10.3390/app11188708.

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In recent years, short texts have become a kind of prevalent text on the internet. Due to the short length of each text, conventional topic models for short texts suffer from the sparsity of word co-occurrence information. Researchers have proposed different kinds of customized topic models for short texts by providing additional word co-occurrence information. However, these models cannot incorporate sufficient semantic word co-occurrence information and may bring additional noisy information. To address these issues, we propose a self-aggregated topic model incorporating document embeddings.

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Saqib, Natasha, and Gowsia Bashir Shah. "Business Model Innovation Through Digital Entrepreneurship." International Journal of E-Entrepreneurship and Innovation 13, no. 1 (2023): 1–20. http://dx.doi.org/10.4018/ijeei.315294.

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Aggregator business network models are quickly becoming critical enablers of digital transformation across various industries and are increasingly active in service start-ups such as online food delivery. With their innovative use of digital technologies, several unconventional start-ups in the online food ordering space are upending the market. However, the industry faces fierce competition from rivals and rising consumer demand for unique experiences. Using an exploratory case study methodology, the current study investigates the case of “Zomato,” an Indian restaurant aggregator and food del

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Scavia, Gaia, Monica Staffolani, Stefano Fisichella, et al. "Enteroaggregative Escherichia coli associated with a foodborne outbreak of gastroenteritis." Journal of Medical Microbiology 57, no. 9 (2008): 1141–46. http://dx.doi.org/10.1099/jmm.0.2008/001362-0.

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This study investigated two foodborne outbreaks of gastroenteritis that occurred 10 days apart among individuals who had meals at the restaurant of a farm holiday resort. Mild gastrointestinal symptoms were reported and none of the patients needed hospitalization. Mean incubation times were 45 and 33 h, and the overall attack rates were 43.5 and 58.3 %, respectively. Stool sample examination was negative for common enteric pathogens in both outbreaks. Specimens from 13 people involved in the second outbreak and 3 restaurant staff were examined for diarrhoeagenic Escherichia coli. An enteroaggr

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Gütl, Christian. "Editorial." JUCS - Journal of Universal Computer Science 30, no. (1) (2024): 1–2. https://doi.org/10.3897/jucs.119196.

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Dear Readers, I would like to wish you all the best for the new year! It is with great pleasure that I welcome you to our first regular issue in 2024, which is already the 30th year that J.UCS has been available to authors and readers without any interruptions. I would like to gratefully acknowledge the visionary ideas of Prof. Hermann Maurer, who founded the journal and ran it successfully for many years, preparing the ground for it to become one of the longest-running open content journals in computer science. Looking back on the past year, we have further increased our visibility and taken

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Gütl, Christian. "Editorial." JUCS - Journal of Universal Computer Science 30, no. 1 (2024): 1–2. http://dx.doi.org/10.3897/jucs.119196.

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Dear Readers,&nbsp; I would like to wish you all the best for the new year! It is with great pleasure that I welcome you to our first regular issue in 2024, which is already the 30th year that J.UCS has been available to authors and readers without any interruptions. I would like to gratefully acknowledge the visionary ideas of Prof. Hermann Maurer, who founded the journal and ran it successfully for many years, preparing the ground for it to become one of the longest-running open content journals in computer science.&nbsp; Looking back on the past year, we have further increased our v

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Martynov, K. V. "Comparative analysis of the effectiveness of organizing your own delivery service and cooperation with special courier services in the restaurant business." Scientific notes of the Russian academy of entrepreneurship 24, no. 1 (2025): 83–90. https://doi.org/10.24182/2073-6258-2025-24-1-83-90.

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This paper raises the problem of evaluating the effectiveness of various ways of organizing the delivery of ready meals from restaurants. In the process of research, a unified vision of this vast problem is formed. All data is formulated and structured by the method of comparative analysis. The results of the study are summarized in a single table that provides a visual representation of the disadvantages and advantages of various delivery methods. The relevance of the study is due to the increased demand for ready–o–eat delivery services and growing competition among restaurateurs. The conclu

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Ramadhani, Khairunisa. "Food Safety and Halal Issues in Food Aggregator Applications: “A Consumer's Point of View”." Jurnal Ilmiah Ekonomi Islam 8, no. 1 (2022): 21. http://dx.doi.org/10.29040/jiei.v8i1.4392.

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Food delivery services are developing significantly, especially during the COVID-19 pandemic. Food aggregator application is one of the online systems which enables customers to order delivery food from several food providers. This application was made as a simple app to make it easy to use by customers. In addition, it also makes it easier for food producers to sell their products. However, it has its limitation in which the consumers do not know the safety and halal status of the products offered in this application. This research aimed to understand the consumers' perceptions of the food's

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Canon, Syarwani. "Identifikasi Sektor Katalisator dalam Perekonomian Wilayah Provinsi Sulawesi Utara." Jurnal Ekonomi dan Pembangunan Indonesia 10, no. 2 (2010): 129–42. http://dx.doi.org/10.21002/jepi.v10i2.116.

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Direct relation model has been known as an analytical model to measure the relationship between economic sectors. However, there has not been known an analysis to measure the catalyst sector. Generally, the analytical model of relations of economic activities is an aggregative model which neglects the function of catalyst sector. Possibly, this will ignore its influence, when sometimes it is important to know the acceleration this influence for planning purposes. This paper uses analytical model of catalyst sectors of nine sectors in North Sulawesi Province with 56 causality combinations in ea

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Ekovinh, Zariel Ardian, Moh. Muhtarom, and Nibras Faiq Muhammad. "Solo Culinary Recommendation System Use Web-Based Collaborative Filtering Method." Journal of Advances in Information and Industrial Technology 6, no. 2 (2024): 103–12. https://doi.org/10.52435/jaiit.v6i2.578.

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The development of a culinary recommendation system for the city of Solo through the utilization of collaborative filtering techniques is outlined in this investigation. This approach was selected based on its capacity to enhance user preferences through comparison with individuals sharing similar values. The dataset utilized in this study comprises feedback from users and evaluations of restaurants obtained from Google Maps. Collaborative filtering methodologies, particularly those centered on users, are employed to construct recommendation frameworks that offer personalized and pertinent adv

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Katoch, R., and A. Sidhu. "ONLINE FOOD DELIVERY INDUSTRY IN INDIA: A CASE OF CUSTOMER SATISFACTION DYNAMICS." Advances in Mathematics: Scientific Journal 10, no. 1 (2021): 507–16. http://dx.doi.org/10.37418/amsj.10.1.50.

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With the advent of digital technology in food market, online platforms have been used to deliver meals from a variety of restaurants through a mobile app. The pace with which this industry is flourishing. It becomes imperative to have real knowledge about the factors which are contributing to the popularity of these apps and enhancing customer satisfaction. The present research reports the results of an empirical study covering 300 respondents across India,based on exploratory,confirmatory factor analysis and Structural Equation Modelling (SEM) to identity satisfaction determinants among food

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Macovei, Lilia, and Ludek Zurek. "Ecology of Antibiotic Resistance Genes: Characterization of Enterococci from Houseflies Collected in Food Settings." Applied and Environmental Microbiology 72, no. 6 (2006): 4028–35. http://dx.doi.org/10.1128/aem.00034-06.

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ABSTRACT In this project, enterococci from the digestive tracts of 260 houseflies (Musca domestica L.) collected from five restaurants were characterized. Houseflies frequently (97% of the flies were positive) carried enterococci (mean, 3.1 ï¿½ 103 CFU/fly). Using multiplex PCR, 205 of 355 randomly selected enterococcal isolates were identified and characterized. The majority of these isolates were Enterococcus faecalis (88.2%); in addition, 6.8% were E. faecium, and 4.9% were E. casseliflavus. E. faecalis isolates were phenotypically resistant to tetracycline (66.3%), erythromycin (23.8%), st

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Jiang, Tingyao, Zilong Wang, Ming Yang, and Cheng Li. "Aspect-Based Sentiment Analysis with Dependency Relation Weighted Graph Attention." Information 14, no. 3 (2023): 185. http://dx.doi.org/10.3390/info14030185.

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Aspect-based sentiment analysis is a fine-grained sentiment analysis that focuses on the sentiment polarity of different aspects of text, and most current research methods use a combination of dependent syntactic analysis and graphical neural networks. In this paper, a graph attention network aspect-based sentiment analysis model based on the weighting of dependencies (WGAT) is designed to address the problem in that traditional models do not sufficiently analyse the types of syntactic dependencies; in the proposed model, graph attention networks can be weighted and averaged according to the i

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Andris, Clio, and Dipto Sarkar. "Methods for the Geographic Representation of Interpersonal Relationships and Social Life." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-11-2019.

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<p><strong>Abstract.</strong> Interpersonal relationships are an important part of social and personal health. Studies of social capital show that individuals and communities with stronger ties are have an economic and health advantage. Yet, loneliness and isolation are becoming major public health issues. There is a pressing need to measure where relationships are strong and how accessible one’s social ties are, in order to learn how to better support face-to-face meetings and promote social health in society. However, the datasets we use to study people and human behaviour

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VanEpps, Eric M., Andras Molnar, Julie S. Downs, and George Loewenstein. "Choosing the Light Meal: Real-Time Aggregation of Calorie Information Reduces Meal Calories." Journal of Marketing Research, September 3, 2021, 002224372110223. http://dx.doi.org/10.1177/00222437211022367.

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Numeric labeling of calories on restaurant menus has been implemented widely, but scientific studies have generally not found substantial effects on calories ordered. The present research tests the impact of a feedback format that is more targeted at how consumers select and revise their meals: real-time aggregation of calorie content to provide dynamic feedback about meal calories via a traffic light label. Because these labels intuitively signal when a meal shifts from healthy to unhealthy (via the change from green to a yellow or red light), they prompt decision makers to course-correct in

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Kulkarni, Nilesh D., and Saurav Bansal. "System Analysis to UML – Restaurant Case Study." Journal of Artificial Intelligence & Cloud Computing, March 31, 2022, 1–6. http://dx.doi.org/10.47363/jaicc/2022(1)196.

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The paper presents a detailed examination of the application of Unified Modeling Language (UML) for system analysis within the context of a restaurant business case study. It begins with the articulation of business requirements through user journey understanding and user story definition. The importance of a good user story is emphasized, with a particular focus on the INVEST characteristics that ensure a user story's effectiveness. The paper further delves into the basics of UML, exploring fundamental concepts such as classes, and the various relationships within class structures including a

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Shen, Xiangyou, Bing Pan, Tao Hu, Kaijun Chen, Lin Qiao, and Jinyue Zhu. "Beyond self-selection: the multilayered online review biases at the intersection of users, platforms and culture." Journal of Hospitality and Tourism Insights ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/jhti-02-2020-0012.

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PurposeOnline review bias research has predominantly focused on self-selection biases on the user’s side. By collecting online reviews from multiple platforms and examining their biases in the unique digital environment of “Chinanet,” this paper aims to shed new light on the multiple sources of biases embedded in online reviews and potential interactions among users, technical platforms and the broader social–cultural norms.Design/methodology/approachIn the first study, online restaurant reviews were collected from Dianping.com, one of China's largest review platforms. Their distribution and u

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-, Nikhil Choudhary, and Ratnamanjary das -. "Indian Multinational Restaurant Aggregator And Food Delivery." International Journal For Multidisciplinary Research 5, no. 2 (2023). http://dx.doi.org/10.36948/ijfmr.2023.v05i02.2411.

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With the advent of digital technology in food market, online plat-forms have been used to deliver meals from a variety of restaurants through a mobile app. The pace with which this industry is flourishing. It becomes im-perative to have real knowledge about the factors which are contributing to the popularity of these apps and enhancing customer satisfaction. The present re-search reports the results of an empirical study covering 300 respondents across India,based on exploratory,confirmatory factor analysis and Structural Equation Modelling (SEM) to identity satisfaction determinants among fo

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Vaccaro, Marianna. "Informative Feedback: A Help to Change People's Behaviour." Ergonomics International Journal 5, no. 4 (2021). http://dx.doi.org/10.23880/eoij-16000272.

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Evolved from the portable phone, the smartphone has assumed significant importance in the lives of many people to make them increasingly dependent, conditioning interests and activities, with very negative effects on freedom of choice, motivation and commitment in many areas of daily life, primarily interpersonal relationships and contexts of aggregation such as pubs and restaurants. The research was born as an experiment of Nudge application to reduce the frequency of smartphone use in pubs and restaurants through the use of informative feedback. The control group has shown a reduction in the

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Vaccaro, Marianna. "Are you Really Social? Put your Smartphone Down. Using Nudge to Reduce the Frequency of use of Smartphones in Pub and Restaurants." Ergonomics International Journal 5, no. 4 (2021). http://dx.doi.org/10.23880/eoij-16000274.

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To escape uninteresting conversations during an aperitif or a lunch break, in pubs and restaurants, people prefer to communicate with their smartphone rather than with those sitting next to them. This online contact led to greater isolation in real life and impaired relationships. The nudging technique called salience was used to increase face-to-face relationships and obtain a reduction in the frequency of use of the smartphone in the moments of aggregation, to gently push people to undertake specific behavior such as distancing themselves from their mobile device in moments intended for shar

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Mousa, Mohamed, and Ahmad Arslan. "Responsible leadership practices in the hospitality sector family businesses: evidence from an emerging market." Journal of Family Business Management, March 20, 2023. http://dx.doi.org/10.1108/jfbm-01-2023-0008.

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PurposeThe study aims to find out the extent to which hospitality sector family-owned businesses in Egypt feel committed to responsible leadership practices and subsequently meet their stakeholders' expectations.Design/methodology/approachThe authors conducted semi-structured interviews with 24 owners of family restaurants in Egypt. Thematic analysis was undertaken on the collected data resulting in four major themes.FindingsThe authors find that the four dimensions (aggregation of virtuousness, stakeholder involvement, individual competencies and ethical contributions) are not fully exercised

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"Opinion Aggregator Platforms in the Restaurant Sector: Experience, Relation and Satisfaction of the Users." International Journal of Marketing, Communication and New Media 11, no. 21 (2023). http://dx.doi.org/10.54663/2182-9306.2023.v11.n21.90-111.

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Larasati, Dhiar Niken, and Nucke Widowati Kusumo Projo. "Nowcasting the Transportation and Accommodation Sectors Growth using the Google Trends Index." EKSAKTA: Journal of Sciences and Data Analysis, January 27, 2023, 29–39. http://dx.doi.org/10.20885/eksakta.vol4.iss1.art4.

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This research aims to assess the possibility of the daily and weekly Google Trends Index (GTI) to predict the quarterly GDP growth. The U-MIDAS approach is utilized because it allows using of daily and weekly basis data to forecast quarterly indicators without aggregating them onto a quarterly basis hence it does not eliminate useful information on the daily and weekly data. This research uses quarterly GDP for the transportation sector and the accommodation and restaurant sector which are considered potential industries for the future of Indonesia's economy. The result shows that the daily ba

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Torres-Tadeo, Cesar Mauricio, Diego Esteban Platas-Rosado, and Clotilde Ingrid Tadeo-Castillo. "Analysis of the Tilapia (Oreochromis spp.) Value Chain in the State of Veracruz Rural Aquaculture for the Small Producer." Agro Productividad 14, no. 4 (2021). http://dx.doi.org/10.32854/agrop.v14i4.2016.

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Objective: To analyze the importance of the aquaculture value chain links in the state of Veracruz, Mexico, especially those of production and marketing. Methodology: The information was obtained in the six main tilapia (Oreochromis spp.) production regions in the state of Veracruz through poles based in a questionnaire that addresses key informants; variables related to each link and chain agent were considered; five juvenile producers, 41 tilapia producers and 12 marketers. Results: A fish farming value chain map was generated with the description of distribution channels, production cost es

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Casimiro Filho, Francisco, and Joaquim José Martins Guilhoto. "MATRIZ DE INSUMO-PRODUTO PARA A ECONOMIA TURÍSTICA BRASILEIRA: CONSTRUÇÃO E ANÁLISE DAS RELAÇÕES INTERSETORIAIS." Análise Econômica 21, no. 40 (2009). http://dx.doi.org/10.22456/2176-5456.10743.

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This study aimed to analyze the tourism contributions to the Brazilian economy, considering the productive framework of 1999. For that, it was aimed to characterize the inter-sectors relations focusing on sectors that form the tourism segment. In order to perform this study it was needed to share the input-output matrix constituted to the country into sectors which were considered touristy and non-touristy In the analysis, it was used, the linkage index of Hirschmann-Rasmussem, the field of influence, the pure linkage. The linkages inter-sector indexes allowed the identification of key-sectors

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Fang, Min, Lu Liu, Yuxin Ye, Beibei Zhu, Jiayu Han, and Tao Peng. "Knowledge-aware hierarchical attention network for recommendation." Journal of Intelligent & Fuzzy Systems, July 24, 2022, 1–13. http://dx.doi.org/10.3233/jifs-212918.

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Knowledge graphs have been introduced into recommender systems due to the rich connectivity information. Many knowledge-aware recommendation methods use graph neural networks (GNNs) to capture the high-order structural and semantic information of knowledge graphs. However, previous GNN-based methods have the following limitations: (1) they fail to make full use of the neighborhood information of entities and (2) they ignore the importance of user interaction sequences on reflecting user preferences. As such, these models are insufficient for generating accurate representations of users and ite

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G., Rejikumar, and Aswathy Asokan-Ajitha. "Business customer experience in B2B2C service settings: a scale development." Journal of Business & Industrial Marketing, June 22, 2022. http://dx.doi.org/10.1108/jbim-07-2021-0342.

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Purpose Business-to-business (B2B) relations will become more prevalent in many areas such as delivery services, based on current trends supporting e-commerce proliferation. In addition, hyperlocal e-commerce, which focuses on customers in a small geographic region, relies heavily on another business to handle the supply chain. Emerging trends in business to business to customer (B2B2C) experiences provide retailers with opportunities to develop strategies for better customer service. Therefore, the purpose of this study was to develop a scale for measuring business customer experience in the

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Liu, Xinyi, Meiliu Wu, Bo Peng, and Qunying Huang. "Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data." Scientific Reports 12, no. 1 (2022). http://dx.doi.org/10.1038/s41598-022-19441-9.

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AbstractIndividual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people’s frequent travel purposes. However, labor-intensive engineering work is often required to extract effective features. Additionally, features and models are mostly calibrated for individual trajectories with regular daily travel routines and patterns, and therefore suffer from poor generalizability when applied to new trajectories with more irregular patterns. Meanwhile, most existing models cannot extract features

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Hearn, Greg, and Michelle Hall. "Zone." M/C Journal 14, no. 5 (2011). http://dx.doi.org/10.5204/mcj.446.

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Our challenge for this special issue was to describe and analyse the zones we live in and to a large extent take for granted. There are micro zones. These are small intimate spaces that are very temporary and circumscribe activity between two or three people. The second category of zone is we might call mezzo or mid-range zones. These are zones wherein activities that occupy us for several hours take place. These could include bars, restaurants, playgrounds, and of course the rooms in a house or workplace. Finally there is the city level macro zone. Most of us live in cities. This is an aggreg

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Bowles, Kate. "Academia 1.0: Slow Food in a Fast Food Culture? (A Reply to John Hartley)." M/C Journal 12, no. 3 (2009). http://dx.doi.org/10.5204/mcj.169.

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"You could think of our kind of scholarship," he said, "as something like 'slow food' in a fast-food culture."— Ivan Kreilkamp, co-editor of Victorian Studies(Chronicle of Higher Education, March 2009) John Hartley’s entertaining and polemical defense of a disappearing art form (the print copy journal designed to be ripped eagerly from its envelope and read from cover to cover like a good book) came my way via the usual slightly disconcerting M/C Journal overture: I believe that your research interests and background make you a potential expert reviewer of the manuscript, "LAMENT FOR A LOST RU

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Adey, Peter. "Holding Still: The Private Life of an Air Raid." M/C Journal 12, no. 1 (2009). http://dx.doi.org/10.5204/mcj.112.

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In PilsenTwenty-six Station Road,She climbed to the third floorUp stairs which were all that was leftOf the whole house,She opened her doorFull on to the sky,Stood gaping over the edge.For this was the placeThe world ended.Thenshe locked up carefullylest someone stealSiriusor Aldebaranfrom her kitchen,went back downstairsand settled herselfto waitfor the house to rise againand for her husband to rise from the ashesand for her children’s hands and feet to be stuck back in placeIn the morning they found herstill as stone, sparrows pecking her hands.Five Minutes after the Air Raidby Miroslav Holu

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