Abstract Recommender Systems (RSs) have been extensively utilized as a means of
reducing the information overload and offering travel recommendations to tourists. The …

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 …

In an increasingly competitive market, most online tour operators have launched
personalized travel itinerary recommendation services. Different from previous studies, this …

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 …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

In tourist sector, expert and intelligent systems should perform at least two main tasks or
services: point of interest recommendation and route generation. In this regard, the …

Tourist trip design problems (TTDP) support tourists in creating trips composed of multiple
points of interest (POIs) or other travel-related items. We present a novel approach to …

In this paper, MASA (Modified A* Algorithm) method is introduced which can merge
numerous factors with different weights into a multi-weighted graph to offer the most optimal …

The paper presents an interactive electronic guide application prototype able to recommend
personalized multiple-day tourist itineraries to mobile web users. The proposed application …

Automatic itinerary planning is a crucial and challenging issue in tourism. This paper
proposes a novel automatic planning method to suggest multiple itineraries that satisfy the …