Human-centric software engineering for next generation cloud-and edge-based smart living applications

J Grundy - 2020 20th IEEE/ACM International Symposium on …, 2020 - ieeexplore.ieee.org
Humans are a key part of software development, including customers, designers, coders,
testers and end users. In this keynote talk I explain why incorporating human-centric issues …

Timeliness-aware on-site planning method for tour navigation

S Isoda, M Hidaka, Y Matsuda, H Suwa, K Yasumoto - Smart Cities, 2020 - mdpi.com
In recent years, there has been a growing interest in travel applications that provide on-site
personalized tourist spot recommendations. While generally helpful, most available options …

[HTML][HTML] Topic modelling for routine discovery from egocentric photo-streams

E Talavera, C Wuerich, N Petkov, P Radeva - Pattern Recognition, 2020 - Elsevier
Developing tools to understand and visualize lifestyle is of high interest when addressing
the improvement of habits and well-being of people. Routine, defined as the usual things …

Sentiment-aware and personalized tour recommendation

P Padia, KH Lim, J Cha… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Itinerary planning is one of the most important tasks in tourism. A well-planned itinerary
enhances the tourist experience and their visit satisfaction in new cities. However, the task of …

[PDF][PDF] User-relative Personalized Tour Recommendation.

P Padia, B Singhal, KH Lim, D Pillar - IUI Workshops, 2019 - researchgate.net
Tour planning and recommendation is an important but tedious task for tourists visiting
unfamiliar cities and places. While there are various personalized tour recommendation …

A planning algorithm to support learning in open-ended, unstructured environments

S Frost, G McCalla - International Journal of Artificial Intelligence in …, 2021 - Springer
The focus of this paper is a novel pedagogical planner that we have developed called the
CFLS planner (Collaborative Filtering based on Learning Sequences). The CFLS planner …

Generating distributed representation of user movement for extracting detour spots

M Hirota, T Oda, M Endo, H Ishikawa - Proceedings of the 11th …, 2019 - dl.acm.org
Owing to the increasing popularity of mobile devices embedded with a Global Positioning
System (GPS) sensor, large amounts of user-generated content containing spatial …

Learning to route via theory-guided residual network

C Liu, G Zheng, Z Li - arXiv preprint arXiv:2105.08279, 2021 - arxiv.org
The heavy traffic and related issues have always been concerns for modern cities. With the
help of deep learning and reinforcement learning, people have proposed various policies to …

[PDF][PDF] Extended Travel Itinerary Datasets Towards Reproducibility.

K Otaki, Y Baba - RecTour@ RecSys, 2023 - ceur-ws.org
Recommending attractive travel itineraries to tourists is a promising application. A well-
known drawback of existing research is the lack of public data for evaluating new …

Extracting detour spots using skip-gram model from geo-tagged tweets

M Mizutani, T Oda, M Hirota - 2020 IEEE 2nd Global …, 2020 - ieeexplore.ieee.org
Numerous contents have been uploaded to social media sites are useful to analyze the
tourist behaviors and recommend other tourist spots. In this paper, we propose a method for …