Harnessing Extracted Social Media Events for Personalized Travel Sequences

Tourism has evolved from a simple pastime into a pivotal industry with significant economic implications. Modern travelers frequently venture into unfamiliar locales and seek guidance in crafting enjoyable itineraries. Creating a satisfying trip involves comprehending local attractions, environmental considerations, and personal preferences. In contrast to previous research that primarily focused on fixed Points of Interest (PoIs), this study introduces a diverse range of attractions including extracted events from social media, and proposes routes that encompass these variations. A pioneering aspect of this research is the utilization of social media events for travel route planning. It involves extracting and mapping those events, whenever possible, to existing spatial attractions. The results of our experimental evaluation demonstrate the effectiveness of this approach in efficiently recommending personalized travel itineraries that are driven by events.