Exploring social dynamics in paying guest recommendation systems : a survey
Publication details: Ghaziabad MAT Journals 2024Edition: Vol.1(2), May-AugDescription: 21-31pSubject(s): Online resources: In: Journal of data engineering and knowledge discoverySummary: The Paying Guest (PG) recommendation system, which places quality above proximity or out-of-date data, transforms conventional PG searches. This cutting-edge technology is accessible and straightforward, with a user-friendly interface that allows natural language query input and leverages Google's Places API for real-time information. The Google Places Autocomplete API verifies user-provided locations to make sure they are accurate and relevant. The site then uses the Google Places nearby API to retrieve nearby PG choices. The system's core is a unique ranking algorithm that provides individualized suggestions based on user history, PG ratings, and review counts. This method guarantees consumers will receive recommendations uniquely based on their past actions and preferences.| Item type | Current library | Status | Barcode | |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2025-0324 |
The Paying Guest (PG) recommendation system, which places quality above proximity or out-of-date data, transforms conventional PG searches. This cutting-edge technology is accessible and straightforward, with a user-friendly interface that allows natural language query input and leverages Google's Places API for real-time information. The Google Places Autocomplete API verifies user-provided locations to make sure they are accurate and relevant. The site then uses the Google Places nearby API to retrieve nearby PG choices. The system's core is a unique ranking algorithm that provides individualized suggestions based on user history, PG ratings, and review counts. This method guarantees consumers will receive recommendations uniquely based on their past actions and preferences.
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