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Kyungdoh Kim
Drones, which were first used in military applications, are now widely used by civilians for various purposes such as for deliveries and as cameras. There has been a lack of research into what drone users expect in terms of drone design and operation fro...
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Wenkai Ni, Yanhui Du, Xingbang Ma and Haibin Lv
One of the five types of Internet information service recommendation technologies is the personalized recommendation algorithm, and knowledge graphs are frequently used in these algorithms. RippleNet is a personalized recommendation model based on knowle...
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Zhuoming Xu, Hanlin Liu, Jian Li, Qianqian Zhang and Yan Tang
Knowledge graph-based recommendation methods are a hot research topic in the field of recommender systems in recent years. As a mainstream knowledge graph-based recommendation method, the propagation-based recommendation method captures users? potential ...
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Ruijing Li, Jianzhong Guo, Chun Liu, Zheng Li and Shaoqing Zhang
With the popularity of location-based social networks such as Weibo and Twitter, there are many records of points of interest (POIs) showing when and where people have visited certain locations. From these records, next POI recommendation suggests the ne...
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Carl Strathearn and Minhua Ma
Realistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communication and the human body the most effective form for traversing the manmade are...
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Elahe Khazaei and Abbas Alimohammadi
Location-based social networking services have attracted great interest with the growth of smart mobile devices. Recommending locations for users based on their preferences is an important task for location-based social networks (LBSNs). Since human bein...
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Buket Senoglu,Hilmi Ekin Oktay,Isami Kinoshita
Pág. 97 - 105
Even though heritage gardens have been preserved successfully in Japan, these gardens, especially the ones in Tokyo, have been surrounded by modern high-rise buildings that have entered the scenery of the gardens dramatically. This situation has become a...
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Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng and Xican Wang
The next point-of-interest (POI) recommendation is one of the most essential applications in location-based social networks (LBSNs). Its main goal is to research the sequential patterns of user check-in activities and then predict a user?s next destinati...
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Farah Altarifi, Nawal Louzi, Dana Abudayyeh and Tariq Alkhrissat
Amman, the capital of Jordan, has experienced significant traffic congestion due to the rise in private vehicle ownership and limited public transportation services. A Stated Preference (SP) survey was conducted to determine public transportation users? ...
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Ali Mohsin, Qiong Shen, Xinyu Wang and Xiaoming Zhang
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Depeng Zhang, Hongchen Wu and Feng Yang
The popularity of intelligent terminals and a variety of applications have led to the explosive growth of information on the Internet. Some of the information is real, some is not real, and may mislead people?s behaviors. Misleading information refers to...
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Mohamed Hamada and Mohammed Hassan
Recommender systems are powerful online tools that help to overcome problems of information overload. They make personalized recommendations to online users using various data mining and filtering techniques. However, most of the existing recommender sys...
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George Benwell,Stephen MacDonell
Petri nets, as a modelling formalism, are utilised for the analysis of processes, whether for explicit understanding, database design or business process re-engineering. The formalism, however, can be represented on a virtual continuum from highly graphi...
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Abdelghani Azri, Adil Haddi and Hakim Allali
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user?item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods. However, recent advancements in ...
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Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah and Samir Loudni
Pattern mining is a valuable tool for exploratory data analysis, but identifying relevant patterns for a specific user is challenging. Various interestingness measures have been developed to evaluate patterns, but they may not efficiently estimate user-s...
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Jehan Al-Safi and Cihan Kaleli
A technique employed by recommendation systems is collaborative filtering, which predicts the item ratings and recommends the items that may be interesting to the user. Naturally, users have diverse opinions, and only trusting user ratings of products ma...
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Sun-Young Ihm, Shin-Eun Lee, Young-Ho Park, Aziz Nasridinov, Miyeon Kim and So-Hyun Park
Collaborative filtering (CF) is a recommendation technique that analyzes the behavior of various users and recommends the items preferred by users with similar preferences. However, CF methods suffer from poor recommendation accuracy when the user prefer...
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Markos Konstantakis, Georgios Alexandridis and George Caridakis
Recent developments in digital technologies regarding the cultural heritage domain have driven technological trends in comfortable and convenient traveling, by offering interactive and personalized user experiences. The emergence of big data analytics, r...
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Rian Adam Rajagede,Yuanda Hanif Hisyam,Muhammad Ichlasul Amal Yulianto,Farid Amin Ridwanto,Alfian Try Putranto,Muhammad Rifqi Fatchurrahman Putra Danar
Pág. 171 - 181
Memorizing Al-Quran is one of the most important acts of worship for Muslims. After memorizing some parts of the Al-Qur?an, the hafiz or Al-Qur?an?s memorizer is recommended to repeat or muraja?ah their memorization to strengthen it. This process is usua...
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Sumet Darapisut, Komate Amphawan, Nutthanon Leelathakul and Sunisa Rimcharoen
Location-based recommender systems (LBRSs) have exhibited significant potential in providing personalized recommendations based on the user?s geographic location and contextual factors such as time, personal preference, and location categories. However, ...
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