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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM29079
Volume:
8 |
3 |
Mar 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the last few years, advertisements and vouchers have mainly been used to provide discounts. Text messages and posters have been used till now but advertising on mobile devices is a necessity of the present times. Vendors need to be able to publish and modify the advertisement to the users according to their interest. This method has low cost of digital advertisement and pervasive system for advertisement in big commercial malls. It is used to publish advertisement on the mobile phones of the customers and to find the desired place of the vendors. Customers are people who want to get information in a short amount of time. For example, they want to know the Location of the vendor, their discounts and description of the products. If they don’t get the information according to their preference in a short time, they may lose interest in buying the products. Therefore, they need to get more information and the location without much effort. The information will be extracted from the content of social networks and will be used to predict the ad categories that interest a specific user. The same framework will be used for location based task management to filter ads based on the location of the user and the shop. Paper-based reminders are still very useful, but it is difficult to organize them effectively. Electronic reminders, on the other hand, are becoming more and more popular on cell phones. However, these reminders are mainly triggered by the user’s time. In many cases, tasks only need to be done at a particular location, and it would be helpful if reminders for these tasks could only be triggered when the user is physically around or near that location. This is why we have developed a location based task management for android-based smartphones and tablets in this research.
KEYWORDS
Publication Date
12/31/45356
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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