IAdvertiser is an advertisement recommender concept developed to recomend television commercials for the user.
We address a common problem most user's face when watching tv which is displaying irrelavant advertisements.The advertiser is developed to gather user data while infron of the tv to recommend the most suitable advertisements for them.It is also well secured using ethereum blockchain to encrypt data and information.
The apperent need for improvements in the television advertising was a big issue since other advertising modes have been improved withe the technological improvements.A more productive way of delivering the best suitable content to the user have been highlighted in some publications throughout the past.
Although a number of researches have been conducted to improve the advertising mechanisms in other platforms , television advertising domain has not been addressed and most importantly this system is targeted for sri lankan contextual users and advertisements.
Developing a advertisement recomender system considering the modern advertising strategies
Although the consumers are the main target Current television advertising mechanism does not consider consumers preferences
• Evaluating the effectiveness of demographic features for advertisement recommendation
• Evaluating the effectiveness of Emotional analysis for advertisement recommendation
• Evaluating the effectiveness ofAdvertisement Recommendation with tags
• Lack of security vulnerabilities when considering sensitive user data
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Read more +Initial topic assessment document of the proposed research was submitted for evaluation. The submitted document included a brief overview on key aspects of the proposed research along with the research problem, research objectives, overall solution as well as member task breakdown.
Once the topic was finalized, the project charter document was submitted for evaluation. This document also included a brief overview on key aspects of the proposed research along with the research problem, research objectives, overall solution as well as member task breakdown of the proposed research.
The submission of a report which provides an in-depth analysis pertaining to key aspects of the proposed research along with the research problem, objectives, as well as the overall proposed solution.
Presented to a panel of judges in order to provide an overview of the proposed research.
The submission of a document that provides an overview of key tasks conducted by members during the implementation phase of the research.
Evaluation of 50% completion of the proposed solution by a panel of judges.
Draft submission of the research paper submitted to the supervisor for evaluation.
Submission of the group and individual thesis documents for evaluation.
Evaluation of 90% completion of the proposed solution by a panel of judges.
Submission of research website for evaluation.
Submission of the research logbook and status document 2 which provides an overview of all key tasks conducted by members during the implementation phase of the research.
Final evaluation of the completed product.
Advertisement Recommendations Using Demographic Factors
Advertisement Recommendations Using Emotional Features
Advertisement Recommendations Using Content Tags And Historical Data
Blockchain Encrypted Secure Pipeline For Data Communication
Kannangara K K A L is Team leader of our team.His component is Age and Gender prediction.
Kumara G D S H is Member of our team.His component is Extract Emotions and Facial exprsession.
Samaranath T I is Member of our team.His component is make Advertisement Recommendation system.
Thathsarani W C Member of our team.Her component is doing security by using blockchain.