Abstract
We propose a personalisation solution to recommend tailored restaurant deals for residents or visitors in a city. Unlike previous work on recommendations in the restaurant sector where actual venues are recommended, we focus on suggesting specific products in the form of deals offered by such restaurants. This is done by jointly filtering relevant information for the end-user based on their food-drink preferences, the popularity of the restaurant, its proximity to the user's location and temporal constraints on the availability of deals. A real case study has been conducted upon datasets provided by Wriggle, a platform for discovering local deals in various cities across England.
| Original language | English |
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| Publication status | Published - 1 Sept 2019 |
| Event | 13th ACM Conference on Recommender Systems - Copenhagen, Denmark Duration: 16 Sept 2019 → 20 Sept 2019 Conference number: 13 https://recsys.acm.org/recsys19/ |
Conference
| Conference | 13th ACM Conference on Recommender Systems |
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| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 16/09/19 → 20/09/19 |
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