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Technology
Published in Scott Ambrose, Blaise Waguespack, Fundamentals of Airline Marketing, 2021
Scott Ambrose, Blaise Waguespack
A growing mobile technology that has practical implications for the travel sector is geolocation marketing—involving the ability of a marketer to determine the radius within which to show an advertisement based on users’ GPS coordinates as registered on their smartphones. This approach allows for highly targeted marketing messages based on user behaviors allowing for context-specific timing. Small airports, for instance, will target ads to potential customers who live within their catchment area but display the tendency of using bigger airports farther away. Based on GPS technology, these potential customers may receive the ads making them aware of the convenience of their local airport while they are in the larger airport making for a highly targeted and contextually relevant outreach by the small airport.
RWPTTP Technical Design Outlines
Published in Amalendu Chatterjee, Autonomous and Integrated Parking and Transportation Services, 2019
In addition to satellite-based navigation, geolocation may also be performed by smartphones based on RF beacons. These are proximity-based systems where the location of the access point or beacon transceiver is known, and the RF coverage is sufficiently small that the location of access point suffices as a proxy for that of the smartphone. The RF technologies include WiFi, Bluetooth, Near Field Communication (NFC), and infrared (IR). In this category, one may also include optical scanning of a pattern that indicates location. The beacon may use an IFF transponder-like protocol. In such protocols, the beacon will periodically issue a query with its own ID (I am John, do you hear me?); the responding device will respond with a response and include its own ID in the response (I am Jane, I hear you). This informs the two devices of each other’s ID and that they are within coverage range. One example is as follows. Assume that a Bluetooth Low Energy (BLE) beacon is located near a garage entrance gate, announcing the garage/gate ID every second. A user in a vehicle, carrying a smartphone with BLE support, drives up to the gate. The smartphone becomes aware of the garage/gate ID and communicates this to the Payment Application Server. The Payment Application Server determines the IP address of the Garage Server from the ID of the BLE beacon and opens a communication link to the Garage Server, wherein he requests the latter to open the relevant gate.
Legal and policy aspects of information science in emerging automated environments
Published in Matthias Dehmer, Frank Emmert-Streib, Frontiers in Data Science, 2017
Information processing consists of different stages including, but not limited to, formatting, analysis, authentication, geolocation, and identification. Formatting typically is a conversion of information into another machine-readable format, so that information that originates from different sources can be combined or used together. Authentication can involve diverse steps for verifying information, originating from unknown or nonverified sources, typically be comparing it with verified information in terms of consistency and plausibility. Geolocation is a methodology normally used for geographic information systems (GIS), by which information is attributed to a certain location (and possibly also time). High spatial and temporal resolution often also allows attributing information to a person or a legal entity.
A comprehensive comparison and analysis of machine learning algorithms including evaluation optimized for geographic location prediction based on Twitter tweets datasets
Published in Cogent Engineering, 2023
Hasti Samadi, Mohammed Ahsan Kollathodi
Machine learning models can be employed to make predictions on Twitter datasets consisting of user tweets which will be helpful to predict the user location that will enable to identify where the author of the tweet is located. Identifying the most suitable algorithm to perform geo location prediction is very essential in order to obtain accurate locations. Geolocation prediction of Twitter users can have many different types of applications like demographic analysis, targeted advertising, location-based recommendation, disaster crisis recovery, and more. Mostly such prediction is more feasible due to the large amount of user data that is present on the Internet. With such a large amount of user data continued refinement of location prediction can be performed. Through this paper, the evaluation of various different machine learning algorithms were performed for predicting a certain tweeter’s geographic location to determine which model would produce more accurate predictions through different performance metrics for a dataset.
Multichannel behaviour in the retail industry: evidence from an emerging market
Published in International Journal of Logistics Research and Applications, 2021
Customisation refers to the ability to tailor products to meet customers’ specific needs (Stuart-Menteth, Wilson, and Baker 2006). Huang, Lu, and Ba (2016) indicate that customers have a preference for channels that provide more customised features. Shankar et al. (2016) assert that enhanced technology plays an important role in the shopper’s search process with optimised mobile features and friendly search engines. Rippé et al. (2017) assert that mobile apps provide multichannel customers with interactive and personalised product information that positively affects their shopping experience. Additionally, Kim, Wang, and Malthouse (2015) contend that the greater the number of interactive features and unique information functions tailored to customers’ needs, the higher the purchase intention and spending level. For instance, geolocation tracking, and location-based apps are often used to customise promotions that are sent directly to a customer who is in close proximity to the retail store. Customers prefer interactive and personalised content (such as apps) to static information (often associated with in-store marketing materials) when making decisions, related to purchase and future spending (Rippé et al. 2017). In this study, we hypothesise that: Hypothesis 3/4: Channels offering customized shopping experiences are more likely to be used for shopping than search
Common Android Smartphones and Apps for Cost-Efficient GNSS Data Collection: An Overview
Published in IETE Journal of Research, 2023
Somnath Mahato, Debipriya Dutta, Moumita Roy, Atanu Santra, Sukabya Dan, Anindya Bose
These Apps have the potential for use by the geospatial community for GNSS-based geolocation data collection using commercial smartphones for a finite period. Because of the simple data recording process, the user can record GNSS data in the smartphone, download it at the end of the survey, or can send the file over the cellular network. The users have the option of increasing the number of geolocation sensors without incurring any extra hardware cost. However, the selection of smartphones (Make, Model) and the Android version should be considered and properly selected before the actual data collection process. A non-exhaustive, sample list of Level II Apps is shown in Table 3.