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Akshaya, B.
- Investigation of Bi-Max Algorithm for On-Line Purchase Recommender System using Social Networks
Abstract Views :161 |
PDF Views:0
Authors
Affiliations
1 School of Computing, SASTRAUniversity, Tirumalaisamudram, Thanjavur – 613401. Tamilnadu, IN
1 School of Computing, SASTRAUniversity, Tirumalaisamudram, Thanjavur – 613401. Tamilnadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: Recommender systems in an E-commerce scenario, aim at improving a product’s visibility to a customer. Existing recommendation systems incorporate traditional algorithms and have not been built to consider many behavioral patterns of the user. This opens a huge scope for improvement. Methods/Statistical Analysis: The proposed research work is set to an emphasis on the user’s social network, location, history, patterns based on history (time series), relationship between users, similarity between users and similarity between the items that are in the subset of recommendations to be made. The raw data collected is first fed into a Bi-clustering algorithm called the Bi-Max. Then, Pearson’s Coefficient is used to find the degree of similarity and filter out similar users based on a set threshold. Further filtering is done based on user networks and location of the user based on their latitudinal and longitudinal data obtained. Findings: The similar product has identified based on the degree of similarity. Similar users have been filtered out from the large set of users. It is much more likely that a given user will find a product that they would be interested in. Applications/Improvements: The proposed system has been used for the online purchase of any product. The performance of the proposed system was compared with the traditional approach of K-Means algorithm and the results show increased efficiency produced the recommendation by the proposed model.Keywords
Bi-Max Algorithm, Online Purchase, Recommender System, Social Network, Time Series.Full Text
- Insights for Pharmaceutical Manufacturers on New Age Women: Influence of Media on Purchase and Usage of Medication in India
Abstract Views :318 |
PDF Views:1
Authors
B. Akshaya
1,
Sudha Ramaiah
2
Affiliations
1 Computer Science and Engineering with Bio Informatics, School of Computing Sciences, IN
2 Medical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, IN
1 Computer Science and Engineering with Bio Informatics, School of Computing Sciences, IN
2 Medical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, IN
Source
Indian Journal of Public Health Research & Development, Vol 10, No 11 (2019), Pagination: 1-4Abstract
Media is considered to be an important factor which may influence purchase behaviour. But for medicines bought without prescription of doctors there might be some other factors which the pharmaceutical companies need to probe in .This study envisage about the relationship between Media influence, Personal Reasons, Marketing factors with Brand Experience. Around 236 questionnaires were distributed to women in and around Tamilnadu in the medical shops. The findings of the study show the best relationship by applying multiple regression analysis by using Statistical Package for Social Science SPSS (21.0). The results shows that the brand experience of Indian women (between 18 to 53 years) is not related with respect to media and marketing factors but they are significant with respect to personal reasons alone. This research shall favour the pharmaceutical marketers to understand about the brand experience of Indian women.Keywords
Pharmaceutical Medicines, Brand Experience, Personal Reasons, Indian Women, Media Influence, Marketing Factors.
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