Personality Based Recommendation System Using Social Media

Recommendation system is the reason of success for most of the social media companies as well as e-commerce sites. Giving recommendation to the uses is one of the interesting and challenging tasks nowadays, it helps to generate revenue, to increase number of users, to reduce the searching time for particular item. Recommendation system helps for making interest in user and eventually it increases the popularity of any site. Huge number of items (product, users, movies, songs, hotels etc.) and its feature sets makes it hard to predict the accurate items to the user. It is important to keep all historic data of user as well as all information about the items to generate recommendation. In this paper, the personality of the user is used with the combination on the most popular recommendation techniques like collaborative filtering (CF) and content based filtering (CB) proposed on the amazon review data set. In the first model the personality of the user is calculated by using the big five model on the twitter account. In the second module Collaborative filtering is used to generate the recommendation based on the historic information of the user wherries in third module, Content based filtering is uses to generate recommendation based on the feature set of the item. Pearson-correlation algorithm is applied on both modules and ranking are generated. Finally union of the both vector space are taken as the final recommendation

Appraisal and Dissemination of Open Source Operating Systems and other Utilities

Purpose: In recent years there has been a substantial development in the arena of open source software (OSS) development. Both, academia as well as industry are focusing on developing their software in the open source genre. This paper presents a survey of the Open Source Operating System GNU/Linux and discusses its intricacies at length. It also throws light on some of the extremely popular open source utilities used in diverse sub-domains of Computer Science and Engineering.Methodology: A profound survey and analysis has been undertaken with regard to the open source to build this compilation.Findings: The appraisal and dissemination has found that there is a square increment in the usage of OSS in both academia as well as in the industry. It also throws light on the near future of OSS usage.Research Implications: Any appraise or survey that is conducted today is bound to be superannuated tomorrow. Nevertheless, OSS will continue to remain in the market with newer trends coming in. The paper can be a motivation for further contributions to OSS.Originality/ Value: The paper conglomerates diverse domain OSS that are used in the market, and highlights their usage with emphasis on their other features as well.Keywords: Open Source; GNU/ Linux; Utilities; Debian; Mozilla; Apache Web Server; My SQL.Paper Type: Surve

Proceedings of National Conference on Relevance of Engineering and Science for Environment and Society

This conference proceedings contains articles on the various research ideas of the academic community and practitioners presented at the National Conference on Relevance of Engineering and Science for Environment and Society (R{ES}2 2021). R{ES}2 2021 was organized by Shri Pandurang Pratishthan’s, Karmayogi Engineering College, Shelve, Pandharpur, India on July 25th, 2021. Conference Title: National Conference on Relevance of Engineering and Science for Environment and SocietyConference Acronym: R{ES}2 2021Conference Date: 25 July 2021Conference Location: Online (Virtual Mode)Conference Organizers: Shri Pandurang Pratishthan’s, Karmayogi Engineering College, Shelve, Pandharpur, India