Methodical Aspects of MCDM Based E-Commerce Recommender System

The aim of this paper is to present the use of an innovative approach based on MCDM methods as the main component of a consumer Decision Support System (DSS) by recommending the most suitable products among a given set of alternatives. This system provides a reliable recommendation to the consumer in the form of a compromise ranking constructed from the five MCDM methods: the hybrid approach TOPSIS-COMET, COCOSO, EDAS, MAIRCA, and MABAC. Each of the methods used contributes significantly to the final compromise ranking built with the Copeland strategy. Chosen MCDM methods were combined with the objective CRITIC weighting method, and their performance was presented on the illustrative example of choosing the most suitable mobile phone. A sensitivity analysis involving the rw and WS correlation coefficients was performed to determine the match between the compromise ranking of the candidates and the rankings provided by each MCDM method. Sensitivity analysis demonstrated that all investigated compromise candidate rankings show high convergence with the rankings provided by the particular MCDM methods. Thus, the performed study proved that the proposed approach shows high potential to be successfully used as a central component of DSS for recommending the most suitable product. Such DSS could be a universal and future-proof solution for e-commerce sites and websites, providing advanced product comparison capabilities in delivering a recommendation to the user as a final ranking of alternatives.

PROGRAM PENGEMBANGAN IDE UMKM WAROENG KOPI SINGGAH

Waroeng Kopi Singgah is a coffee shop that focuses on selling coffee on Pilang Street No.200, Wonoayu Sidoarjo. The sales location is strategic, but during this pandemic period it has decreased so that there is a lack of interest in visitors to come to the coffee shop to stop by. The purpose of implementing this program is to increase knowledge about making suitable product brands, knowledge about how to market through digital marketing, an increase in products with various variants, and an increase in turnover after selling through various online media. To achieve the expected goal, a series of activities were carried out using the PAR (Particitory action research) approach method, with various stages in its implementation, namely 1). Planning, this stage is carried out offline observation and identification of problems that are being experienced by the owner of the Singgah coffee shop. 2). Implementation, carrying out a series of activities from rebranding to marketing through digital marketing, and 3). Evaluation, assessment of the work program implemented. The result of the implementation of this activity is the presence of a new logo reflecting the stopover coffee shop, the existence of two coffee variants, namely arabica and robusta. In addition, there is promotion by making digital marketing through online media such as nstagram and shopee. Through a series of activities, it is hoped that there will be an increase in turnover and wider product recognition through online media.

Consolidation and Adhesion of Pictorial Layers on a Stone Substrate. The Study Case of the Virgin with the Child from Palazzo Madama, in Turin

The study and the restoration of a polychrome limestone statue representing the Virgin with the Child, from Palazzo Madama in Turin (NW Italy) offered interesting conservation issue related to the polychromy on stone. To preserve the pictorial layers, it was necessary to re-establish the cohesion among the different polychrome layers (original and repainted) and the adhesion between polychrome film and the stone substrate. Particular attention was paid to the choice of intervention materials, selected through a preliminary survey of the scientific literature, and then verified by laboratory tests (tape test, colorimetric test, and permeability test). The most suitable product should to be able to penetrate porosity, to consolidate the layers, to make the pictorial film adhere with the stone surface, and to avoid changes in the colour and in the permeability. The material chosen also had to ensure compatibility with the cleaning method that could only take place after the consolidation of the pictorial layers due to the problematic state of preservation. A range of products, characterised by their small particle size and low viscosity, was tested, and a micro-acrylic resin was selected and successfully applied on the polychromy of the sculpture.

Hybrid Measuring the Similarity Value Based on Genetic Algorithm for Improving Prediction in A Collaborative Filtering Recommendation System.

In recent years, the Recommendation System (RS) has a wide range of applications in several fields, like Education, Economics, Scientific Researches and other related fields. The Personalized Recommendation is effective in increasing RS's accuracy, based on the user interface, preferences and constraints seek to predict the most suitable product or services. Collaborative Filtering (CF) is one of the primary applications that researchers use for the prediction of the accuracy rating and recommendation of objects. Various experts in the field are using methods like Nearest Neighbors (NN) based on the measures of similarity. However, similarity measures use only the co-rated item ratings while calculating the similarity between a pair of users or items. The two standard methods used to measure similarities are Cosine Similarity (CS) and Person Correlation Similarity (PCS). However, both are having drawbacks, and the present piece of the investigation will approach through the optimized Genetic Algorithms (GA) to improve the forecast accuracy of RS using the merge output of CS with PCS based on GA methods. The results show GA's superiority and its ability to achieve more correct predictions than CS and PCS.

Global boundedness of a class of multilinear Fourier integral operators

We establish the global regularity of multilinear Fourier integral operators that are associated to nonlinear wave equations on products of $L^p$ spaces by proving endpoint boundedness on suitable product spaces containing combinations of the local Hardy space, the local BMO and the $L^2$ spaces.

Ascending the Waste Hierarchy: Re-use potential in Swedish recycling centres

According to the waste hierarchy principle, which constitutes the basis of European waste legislation, waste prevention and re-use are considered – most of the times – better waste management options than recycling. However, prevention and re-use activities are difficult to operationalise and measure, without a monitoring framework in place. This contribution investigates the potential of re-using end-of-life products that have been disposed at recycling centres in Sweden. Recycling centres receive a wide variety of materials for recycling, of which a portion could be re-used instead. The aim is to identify what product groups can be re-used, the share of these potentially re-usable products in the recycling centres, and under what conditions their re-use is feasible. A literature review of similar studies, site visits at recycling centres in Sweden, and semi-structured interviews with relevant stakeholders were used to analyse the potential for re-use in private recycling centres in Sweden. The most suitable product groups for re-use identified are building materials, furniture and electrical equipment (mainly white goods), as other material types are mostly handled by charity organisations (e.g. textiles). There is significant potential for increasing re-use operations in recycling centres, but in order to be economically profitable it is important to identify the most suitable material fractions (or product groups) and engage in strategic partnerships that will allow more effective organisation of re-use processes.

Key Elements of Sports Marketing Activities for Sports Events

Sports marketing activities comprise people, activities, business and organisation in producing, facilitating, promoting or organising any product (as goods, services and events) for a demand of sports supporters. This theoretical paper aims to introduce and discuss the sports scheme, sports marketing mix, and sports supporters as three key elements which the sports teams need to focus on to implement sports marketing activities in sports events. By and large, sports teams have been implemented marketing principles as well as sponsorships to qualify a sports events as experience and entertainment focus on the supporters (as customers). Sports scheme refers to actors’ network, marketing tools represents the tools to plan and perform marketing activities and supporters are those who support and purchase club goods. Thus, all of them are key relevant elements to organise a sports event (as a game or match). The professionalism of the sports events has required use the sports and non-sports stakeholders' skill to help sports teams to design and provide a sports experience and amusement by means sports marketing tools to format a suitable product and service to a supporter’s audience.

Product Recommendation System Design Using Cosine Similarity and Content-based Filtering Methods

The wide variety of products offered by a company, combined with the consistent demands of specific products from customers, create a certain problem for the organization when they want to market a new product. Organization need information that could help them promote the most suitable product based on their customer’s characteristics. The organization also need to suggest alternative products for customer if the requested product is unavailable. In this research, we design a Recommender System that could suggest either new or alternatif products to customer based on their characteristic and transaction history. This proposed system adopts Cosine Similarity method to calculate product similarity score and Content-based Filtering to calculate customer recommendation score and used as a model for the proposed system. Subsequently, these models are used to classify customers as well as products according to their transaction behavior and consequently recommends new products more likely to be purchased by them. Based on the testing results of the proposed system, it can be concluded that the chosen methods can be utilized to recommend products and costumer of products. It is shown that Precision and Recall of product similarity scores and customer recommendation for product scores are 100% and 93.47%.

Online Marketing of Baby Care Products in India

India has emerged as one of the most preferred destinations for the manufacturers and marketers of baby care products. The growing population in the 0-4 year category provides tremendous opportunities to the baby care product marketers worldwide. The favourable changes happened in the demographic and lifestyle aspects of Indian consumers have largely supported the rapid growth witnessed in the industry. With the advancements in modern technology and internet retailing, customers are able to make their purchases around the clock, without facing the constraints of time and place. Penetration of internet even to the rural India and the increased internet user base has widened the scope of online marketing of baby care products. Customers who buy products for babies are often found to be keen in searching sufficient information about the products before they take a decision with respect to their purchase. Online marketers have enabled the customers in searching, comparing and selecting the best suitable product for their babies at their convenience. Understanding the strength, weakness, opportunities and threats will help the marketers to achieve sustainable competitive advantage through effective strategy implementation.