Recommendation Systems Based on Association Rule Mining for a Target Object by Evolutionary Algorithms

Recommender systems are designed for offering products to the potential customers. Collaborative Filtering is known as a common way in Recommender systems which offers recommendations made by similar users in the case of entering time and previous transactions. Low accuracy of suggestions due to a database is one of the main concerns about collaborative filtering recommender systems. In this field, numerous researches have been done using associative rules for recommendation systems to improve accuracy but runtime of rule-based recommendation systems is high and cannot be used in the real world. So, many researchers suggest using evolutionary algorithms for finding relative best rules at runtime very fast. The present study investigated the works done for producing associative rules with higher speed and quality. In the first step Apriori-based algorithm will be introduced which is used for recommendation systems and then the Particle Swarm Optimization algorithm will be described and the issues of these 2 work will be discussed. Studying this research could help to know the issues in this research field and produce suggestions which have higher speed and quality

Presenting a Smoking Addiction Pattern in Young Women; A Qualitative Study of Grandeur Theory

Background: In recent years, an increasing number of young women have tended to smoking. Current study aimed to find the smoking addiction pattern. Methods: To achieve the pattern of smoking addiction, the participants were selected through purposeful sampling method. Finally, 20 people were interviewed by structured interview method, and the data were analyzed based on the Grand Theory method. Findings: The context conditions included family history of smoking, widespread distribution, easy access, and lack of family surveillance, and the causal conditions included start smoking by friends' persuading, accompanying cigarettes with other violations, the distinguished position of cigarette brands for women, the apparent attractiveness of cigarettes, lack of proper recreation, criterion of choosing friends, having tension in life, and gaining prestige by smoking cigarettes for fun, and mediating causes included experiences of high-level behaviors in childhood, disrupting personality traits, neglecting negative social views on smoking by women. Smoking as support, cigarette as tool for getting rid of loneliness, and cigarette as relaxing tool recorded as problems and consequences of cigarette smoking. Conclusion: The results show that in addition to the effects of marketing and advertising on being drawn young women to smoking, psychological factors such as loneliness, personality disorders, and family relationships, and also social factors such as peer pressure and lack of influence from negative social perspectives on smoking are effective too. So, in order to prevent young women from becoming addicted to cigarettes, multidimensional look and applications are required