What is Location-based Recommendation?
A location-based recommendation engine analyzes the data related to the user location along with other related data to generate more accurate recommendations.
Nowadays, the majority of the online platforms (apps and websites) are adopting location-based recommender systems for the customers. Food delivery, salon services, gaming, and hospitality are some of the online businesses that use such recommendation systems to generate location-based suggestions for the customers.
The location-based recommendation systems are utilizing the growing usage of smart mobiles to collect the location-related data of the users.
Use Cases of Location-Based Recommendation Engine
Some of the use cases of the location-based recommendation engine are-
- Location Based Social Networks (LBSN)- An LBSN adds a location to an existing social network. This enables the people in that social network to share their locations as the embedded information. Foursquare, Gowalla, Swarm etc. are some examples of such networks which suggest nearby tourist spots, next place to visit etc.
- Online Social Networks- Nowadays social networking sites such as Facebook, Twitter, and others use location-based recommendation systems to suggest local events, posts, trends etc.
- Online News Portals- Online news portals often use location-based recommendations to provide the relevant local news to the customers.
Location-based recommendation engines are getting increasingly popular among online platforms and it is not just limited to the above use cases but OTT channels, e-commerce stores, e-learning portals, and many more!
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