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Praveena, V.
- CAARD - Context Aware App Recommendation and Delivery using Decision Support Systems
Abstract Views :107 |
PDF Views:0
Authors
V. Praveena
1,
Adithya Raam Sankar
1,
S. Jeya Balaji
1,
R. Sreyas Naaraayanan
1,
Srikrishnan Subramanian
1
Affiliations
1 Department of Computer Science and Engineering, SRM University, Ramapuram Campus, Chennai - 603203, Tamil Nadu, IN
1 Department of Computer Science and Engineering, SRM University, Ramapuram Campus, Chennai - 603203, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 21 (2016), Pagination:Abstract
Objectives: To deliver the affinity of user(s) as a service to prospective developers and help them in providing context aware content. Methods: First, the list of apps installed on the mobile device is retrieved using a special module attached to the host application and is then tagged according to its genre. The module then runs a background service to record the active times of each application. All these information is synchronized with the database on the cloud periodically. The CAARD engine analyses the information in the database to predict the affinity of the user(s). Findings: Currently the users are classified based on their location and categorized using search history, browsing pattern which are not so efficient. They sometimes aim to deliver contents based on the web searches. This again does not necessarily mirror the requirements of the user as all the search terms may be trivial and need not always be specific to the user. Most if the previous systems aim to modify web based techniques for the mobile ecosystem which makes it less efficient. This directly reflects on the revenue of the developers or results in the fall of user base. The proposed system understands the user based on the applications that he frequently uses. This makes it even more user centric and helps the developers in delivering content that is specific to each of the users. Applications: One possible application of this system could be to display more relevant advertisements. This persuades the user to read and click the advertisement thus generating more revenue. Another implementation could be to recommend products that the user might be interested to buy.Keywords
Context Aware, Decision Support System, Mobile Application, Recommendations.- Just Walk-out Technology - Amazon Go!
Abstract Views :85 |
PDF Views:0
Authors
V. Praveena
1,
P. Vedhasree
2
Affiliations
1 Department of Computer Application, Coimbatore Institute of Technology, Coimbatore., IN
2 Department of Information Technology, Bharathiar University, Coimbatore., IN
1 Department of Computer Application, Coimbatore Institute of Technology, Coimbatore., IN
2 Department of Information Technology, Bharathiar University, Coimbatore., IN
Source
Software Engineering, Vol 13, No 1 (2021), Pagination: 5-7Abstract
Amazon is reverse engineering the offline-to-online transformation buy going from a pure online player to now launching physical real-world stores. They already know the online digital playing field and how to serve customers through behavioral data and smart algorithms, and now, with physical stores they may be a very disruptive force in retail and path the way for more disruptors to follow and challenge traditional retail. In 2016 November, Amazon opened its first real physical bookstore in Seattle, the company‟s home city. And it has continued to open staffed pickup points at universities across the U.S. Earlier this year Amazon said they were planning to open up 400 physical bookstores with the first bookstores already open and operational in California, Oregon and Washington with Illinois and Massachusetts coming soon. And today, Amazon announced the opening of its Amazon Go stores, where a range of groceries will be available in a highly automated digital first store environment using all the latest Artificial Intelligence and machine learning technologies. No lines.checkout. No seriously.Keywords
AI, QR Code, No Checkout, Just Walk Out Technology.References
- How amazon go store‟s AI works By
- What is Amazon Go, where is it, and how does it work? By Maggie Tillman
- Soper, Spencer (September 19, 2018). "Amazon Will Consider Opening Up to 3,000 Cashierless Stores by 2021". Bloomberg News. Retrieved September 24, 2018.
- Statt, Nick (October 23, 2018). "Amazon's latest cashier-less Go store opens in San Francisco today". The Verge. Retrieved January 31, 2019.
- Har, Janie (May 7, 2019). "Cash is still king: San Francisco bans creditonly stores". SF Gate. Associated Press. Retrieved May 9, 2019.
- Pisani, Joseph (May 6, 2019). "Amazon to open first Go store that accepts cash". The Seattle Times. Associated Press. Retrieved May 6, 2019.
- Herrera, Sebastian; Tilley, Aaron (February 25, 2020). "Amazon Opens Cashierless Supermarket in Latest Push to Sell Food". The Wall Street Journal. Retrieved February 25, 2020.
- Thomas, Lauren (February 25, 2020). "Amazon is opening its first fullsize, cashierless grocery store. Here's a first look inside". CNBC. Retrieved February 26, 2020.
- Miller, Brian (July 13, 2020). "Work underway on region's second Amazon Go Grocery". Seattle Daily Journal of Commerce. Retrieved July 20, 2020.
- Schlosser, Kurt (September 9, 2020). "Amazon opens new Go Grocery store in Microsoft's neighborhood, as their retail tech rivalry grows". Geek Wire. Retrieved September 15,2020.