Post-via: After Visit Tourist Services Enabled by Semantics

Towards a social and context-aware mobile recommendation system for tourism

“…But it is also aimed to improve quality in the all value chain by means of a continuous improvement mechanism aimed to inform DMOs and owners about relevant events, opinions or simply behaviours associated with POIs under their supervision. Built as an evolution of previous projects [54], the novelty of this approach is the inclusion of an enhanced recommender system built upon artificial immune systems, the inclusion of geo-representation enabled by PostGIS and the enhancement of opinion mining by means of feature-based opinion mining through ontologies [55] and opinion summarization [56].…”

“…Traditional CRM approaches have been enriched by the use of ontologies. A view of the main features of the component is explained in detail in [54]. The semantic model includes several entities (user, profile, visit, valuation, concept, POI, similarity, content, promotion .…”

“…Given that, apart from star-based ratings, users provide opinions on POIs that can be connected or not with their ratings (that, in many times are absent), it is needed to design and deploy an engine to extract information from this data. In this case, the approach adopted is inspired by the works of Peñalver-Martinez et al [55] adapted to the touristic domain and more specifically to the ontology defined and presented in [54]. Based in the framework presented by Peñalver-Martinez [55], the engine developed for the system integrates the following modules: i.…”