Manuscripts

Recent Papers

Research Paper

Qualitative data analysis on contextual advertisements

The internet advertising market is growing day by day much faster than any other advertising platform. The technology and methods used for advertising online go more and more towards automated processes that analyze the content of the page and then matches the ads with these parameters. Advertisers in web pages like Facebook and LinkedIn have some preferred set of users they wish to reach by showing their ads. Some sites offer fine-grained sets of user characteristics – including their career, wealth, education information, etc — that advertisers can specify for targeting their audience, and each of these characteristics requires different amounts of money for targeting. Generating contextual advertisements for websites is a problem of growing interest. The recent $240 million investment by Microsoft in Facebook clearly reaffirms the opportunity in contextual advertising for online social networks. Content-contextual advertisement programs such as Google AdSense and Yahoo Contextual Match work by automatically spotting keywords in web pages and displaying ads based on the keywords. The displayed ads are also referred to as Contextual Advertisements. Contextual advertising allows advertisers to display ads relevant to the content of the website rather than using the data about the visitor. Contextual ads can complement the content. Contextual ads are very effective for particular kinds of content. Some studies indicate they can increase click-through rate by 63%. These ads are generally represented by a URL along with a textual description that is also used to match the ad with the target page. User activity on venues such as forums, marketplaces, and groups on social networking sites are excellent targets for monetization.

Published by: Bayyavarapu Kranthi Kumar, Dadi Sharmila, Buraga Srinivasa Rao, Gedda Poojitha

Author: Bayyavarapu Kranthi Kumar

Paper ID: V5I2-1325

Paper Status: published

Published: March 20, 2019

Full Details
Survey Report

Customer purchases in e-commerce by using big data – Literature survey

In the epoch of Bigdata, the customers view the surplus of the economy, while social commerce grows enormously. This paper started with the concept of providing the customers trustworthy product with reasonable discount and quality products in e-commerce websites. As well as, this determines the better product comparing some of the e-commerce websites. This is done by using the result of the dataset which comprises the details of distrust level, a range of discounts and the customer feedback that is analyzed using the Apriori algorithm in RStudio. The frequent quality product purchased is displayed to the customers in a user-friendly website.

Published by: Shobhanjaly P. Nair, Abhinayaa K. S., Arthi U., Harshini S.

Author: Shobhanjaly P. Nair

Paper ID: V5I2-1339

Paper Status: published

Published: March 20, 2019

Full Details
Review Paper

Review on the factors influencing tourist’s impulse buying behavior in luxury restaurants in Sri Lanka (reference to Kandy city)

Impulsive buying behavior is common and ordinary behavior that most people makes on purchasing from time to time. There are empirical studies that discussed the impulsive buying behavior of the customers. In Sri Lankan context as an emerging industry, most of the tourist follow impulsive buying behavior in the restaurants due to various reasons. Accordingly, paper investigates the concept of impulsive buying behavior and factors that influence to impulsive buying behavior in luxurious restaurants in Sri Lanka. Paper accomplishes research propositions in line with the empirical justifications encouraging future research priorities.

Published by: Jayasooriya S. S. W.

Author: Jayasooriya S. S. W.

Paper ID: V5I2-1358

Paper Status: published

Published: March 20, 2019

Full Details
Research Paper

Effective width of cold-formed C-section by IS:801 and comparing it with AISI:2007

Buildings built with cold formed sections as primary members (frames) and secondary members (purlins) offers viable alternative solutions for wide range applications of social sectors like housing, education etc. Design of cold formed sections has obvious complexity in view of buckling of sections and stress in the compression element, especially in flexure. In this study, using IS: 801 equations, effective section properties of C section are calculated for a wide range of configurations with different b/t ratios for flange subjected to maximum allowable stress. The study also includes simple design tools and few standard colds formed sections having a similar configuration but for thickness to be used for residential or community shelters for different wind zones. A resource is made to compare the results with similar studies using AISI code.

Published by: Pratik Thakre, Pallavi P. Gawande, Ankur H. Akre, Sneha J. Rodke, Sachin D. Dadhey, Kushalkumar Yadav

Author: Pratik Thakre

Paper ID: V5I2-1380

Paper Status: published

Published: March 20, 2019

Full Details
Review Paper

Text mining methods and techniques- A survey

Text Mining is an area where the goal is to discover and extract information such as relations and patterns that are hidden in the Text. The main objective of this paper is to get a deeper knowledge of the text mining techniques and text classification methods used in text mining. This paper describes different methods and algorithms used in text mining like text preprocessing, vector-space model Information- Retrieval and TF-IDF

Published by: Shitanshu Jain, Dr. S. C. Jain, Dr. Santosh Kumar Vishwakarma

Author: Shitanshu Jain

Paper ID: V5I2-1281

Paper Status: published

Published: March 20, 2019

Full Details
Research Paper

Finding rising stars in co-author networks

Finding rising stars is a challenging and interesting task which is being investigated recently in many organizations and Academic networks. This paper addresses the problem of finding rising stars in Co-author networks. Predicting future rising stars is to find talented researchers in Co-author Networks. An effort for finding rising stars named PubRank is proposed, which considers the mutual influence and static ranking of conferences or journals. In this work, modification of PubRank is proposed by considering attributes like mutual influence based on authors’ contribution, co-authors’ citations, the order of appearance and publication venues. This method can be effectively used for mining the Co-author networks to search for rising stars in the research communities and organizations.

Published by: Akil Reddy Gopavarapu, K. S. D. Sai Sowmya, B. Shanmuk Abhishek, P. Vinod Babu

Author: Akil Reddy Gopavarapu

Paper ID: V5I2-1360

Paper Status: published

Published: March 20, 2019

Full Details