جستجوی مقالات مرتبط با کلیدواژه "preference" در نشریات گروه "مدیریت"

In recent years, the emergence of social networks has led to an increasing attention to recommender systems based on user reviews. The purpose of developing such systems is to use valuable information from users' textual comments in the process of modeling and recommending. User comments reflect the actual opinions on the products and services, so they are a valuable resource for recommending. In social networking environments, collaborative filtering systems are used to provide advice to users. The basis of this approach is the experience and opinion of the other people to buy items and products. This approach is based on the assumption that users who have the same interest have a similar rank. In this research, a system is proposed to provide recommend for users to buy books by combining the collaborative filtering and sentiment analysis. For sentiment analysis, ensemble methods based on weighted voting have been used to extract user’s opinions. In the weighting method, a greater weight is assigned to a classifier which has higher accuracy. The selected model has been evaluated on the 7210 user’s comment which extracted from the Amazon website by the web crawler. The results show that the sentiment analysis of the feeling of the users' comments systems has a positive effect on the performance of recommender systems.

Advertising can only grow as the main way to communicate with the audience and the most popular form of marketing if it focuses on effectiveness. The purpose of this study is to evaluate the effectiveness of bank advertising, determine the factors affecting the effectiveness of advertising, and identify the factors affecting the attraction and preference of Day Bank clients. In this regard, the Aida model was used to evaluate the effectiveness of advertising. The statistical population of this research is the clients of Day Bank in Tehran who have seen the bank's advertisements. Due to the infinity of the statistical population and using Cochran's formula, 402 of them were selected using stratified random sampling and a questionnaire was distributed among them. The research questionnaire has face validity with the approval of experts and university professors and structural validity through confirmatory factor analysis. To calculate the reliability, Cronbach's alpha coefficient was used and all values were higher than 0.7, which indicates the high reliability of the questionnaire. Structural equation method and SmartPLS software were used to analyze the data and test the research hypotheses. The results show that Day Bank 's advertisements show sufficient effectiveness in the components of attracting attention, creating interest, creating desire, and choosing a bank. From the clients' point of view, the honesty of the messages and their authenticity, and after that, the creativity in the advertisements and the use of appropriate images are very important in increasing the effectiveness of Day Bank's advertisements. Clients consider the good attitude of employees and respect for the customer, the speed of banking services, matching services received with advertising messages, variety of services received, and providing better electronic banking services were more effective in preference and choosing Day Bank.

The main purpose of this research is to determine effective indexes of customer satisfaction from ATM service and to determine the customer satisfaction level from each index using fuzzy data.After collecting indexes from different sources and using the Delphi method, the importance of each index was approved by bank expert. A questionnaire divided in to two parts, expectation and performance, was used to collect data. To determine the level of customer satisfaction in each index, we made three rules bases in separate of perception and expectation. If customer expectation is very high in both the bank and customer indexes, then customer expectation from satisfaction is very high.