Big data in tourism research: A literature review
J Li, L Xu, L Tang, S Wang, L Li - Tourism management, 2018 - Elsevier
Even at an early stage, diverse big data have been applied to tourism research and made
an amazing improvement. This paper might be the first attempt to present a comprehensive …
an amazing improvement. This paper might be the first attempt to present a comprehensive …
Tour recommendation and trip planning using location-based social media: A survey
Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …
around the world. One important task for tourists is to plan and schedule tour itineraries that …
Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS
New sources of geolocated information, associated with big data and social networks, show
great promise for geographical research, especially in the field of tourism geography. Photo …
great promise for geographical research, especially in the field of tourism geography. Photo …
The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city
When providing directions to a place, web and mobile mapping services are all able to
suggest the shortest route. The goal of this work is to automatically suggest routes that are …
suggest the shortest route. The goal of this work is to automatically suggest routes that are …
A survey on algorithmic approaches for solving tourist trip design problems
D Gavalas, C Konstantopoulos, K Mastakas… - Journal of …, 2014 - Springer
The tourist trip design problem (TTDP) refers to a route-planning problem for tourists
interested in visiting multiple points of interest (POIs). TTDP solvers derive daily tourist tours …
interested in visiting multiple points of interest (POIs). TTDP solvers derive daily tourist tours …
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
Tour recommendation and itinerary planning are challenging tasks for tourists, due to their
need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align …
need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align …
Inferring international and internal migration patterns from twitter data
Data about migration flows are largely inconsistent across countries, typically outdated, and
often inexistent. Despite the importance of migration as a driver of demographic change …
often inexistent. Despite the importance of migration as a driver of demographic change …
[PDF][PDF] Personalized tour recommendation based on user interests and points of interest visit durations
Tour recommendation and itinerary planning are challenging tasks for tourists, due to their
need to select Points of Interest (POI) to visit in unfamiliar cities, and to select POIs that align …
need to select Points of Interest (POI) to visit in unfamiliar cities, and to select POIs that align …
Mining travel patterns from geotagged photos
Recently, the phenomenal advent of photo-sharing services, such as Flickr and Panoramio,
have led to volumous community-contributed photos with text tags, timestamps, and …
have led to volumous community-contributed photos with text tags, timestamps, and …
Personalized multi-period tour recommendations
During a trip planning, tourists gather information from different sources, select and rank the
places to visit according to their personal interests, and try to devise daily tours among them …
places to visit according to their personal interests, and try to devise daily tours among them …