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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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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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Wisam Alnadem Mahmood, LaythKamil Almajmaie , Ahmed Raad Raheem, Saad Albawi (Author)
Pág. e58925
There is a huge information stockpile available on the internet. But the available information still throws a stiff challenge to users while selecting the needed information. Such an issue can be solved by applying information filtering for locating the ...
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Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu and Hongfei Lin
Hashtags are considered important in various real-world applications, including tweet mining, query expansion, and sentiment analysis. Hence, recommending hashtags from tagged tweets has been considered significant by the research community. However, whi...
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Liang Xiao, Qibei Lu and Feipeng Guo
A mobile personalized recommendation service satisfies the needs of users and stimulates them to continue to adopt mobile commerce applications. Therefore, how to precisely provide mobile personalized recommendation service is very important for the sust...
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Li Bai, Mi Hu, Yunlong Ma and Min Liu
The hybrid two-phase recommendation for some group-buying based e-commerce applications, such as Meituan.com and Pinduoduo.com.
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Landy Rajaonarivo, André Fonteles, Christian Sallaberry, Marie-Noëlle Bessagnet, Philippe Roose, Patrick Etcheverry, Christophe Marquesuzaà, Annig Le Parc Lacayrelle, Cécile Cayèré and Quentin Coudert
The cultural heritage of a region, be it a highly visited one or not, is a formidable asset for the promotion of its tourism. In many places around the world, an important part of this cultural heritage has been catalogued by initiatives backed by govern...
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Márcio Guia, Rodrigo Rocha Silva and Jorge Bernardino
The growth of the Internet has increased the amount of data and information available to any person at any time. Recommendation Systems help users find the items that meet their preferences, among the large number of items available. Techniques such as c...
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Ratih Kartika Dewi,Buce Trias Hanggara,Aryo Pinandito
Pág. pp. 133 - 140
Mobile based culinary recommendation system has become critical topic in mobile application. Some methods presented in the literature propose the use of the AHP (Analytic Hierarchy Process), AHP TOPSIS (Technique for Order of Preference by Similarity to ...
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I Made Agus Wirawan,I Wayan Bayu Diarsa
Pág. pp. 64 - 84
Although it has been a lot of research recommendation of the tourist attraction, there has been no research that discusses the recommendations of tour packages from a collection of travel in the past. Therefore, in this study it is important to conduct a...
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Jialu Xu and Feiyue Ye
With the explosion of web information, search engines have become main tools in information retrieval. However, most queries submitted in web search are ambiguous and multifaceted. Understanding the queries and mining query intention is critical for sear...
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Jialu Xu and Feiyue Ye
With the explosion of web information, search engines have become main tools in information retrieval. However, most queries submitted in web search are ambiguous and multifaceted. Understanding the queries and mining query intention is critical for sear...
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Ihsan Gunes,Huseyin Polat
Pág. 13 - 25
In addition to memory- and model-based recommendation schemes, hybrid methods are widely used due to their advantages. Such schemes should be able to provide accurate predictions efficiently while preserving privacy. Also, they need to be robust against ...
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Olga Malyeyeva, Vadym Yesipov, Roman Artiukh, Viktor Kosenko
Pág. 59 - 68
The subject of research in the article is the methods of finding close objects and technologies of forming recommendations. The aim of the article is to develop a recommendation system based on a hybrid method of searching for objects, taking into accoun...
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Vasyl Lytvyn,Victoria Vysotska,Viktor Shatskykh,Ihor Kohut,Oksana Petruchenko,Lyudmyla Dzyubyk,Vitaliy Bobrivetc,Valentyna Panasyuk,Svitlana Sachenko,Myroslav Komar
Pág. 6 - 28
The paper reports a study into recommendation algorithms and determination of their advantages and disadvantages. The method for developing recommendations based on collaborative filtering such as Content-Based Filtering (CBF), Collaborative Filtering (C...
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Wafa Shafqat, Yung-Cheol Byun and Namje Park
Recommendation systems aim to decipher user interests, preferences, and behavioral patterns automatically. However, it becomes trickier to make the most trustworthy and reliable recommendation to users, especially when their hardest earned money is at ri...
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Zihang Xu and Chiawei Chu
Ensuring the sustainability of transportation infrastructure for electric vehicles (e-trans) is increasingly imperative in the pursuit of decarbonization goals and addressing the pressing energy shortage. By prioritizing the development and maintenance o...
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Stella Astafeva,Irina Polyakova
Pág. 77 - 85
This article explores the task of building a musical recommendation system. Such a system helps users to find the music content they are interested in. The paper considers the existing methods of building recommendation systems and analyzes the poss...
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Alireza Javadian Sabet, Mahsa Shekari, Chaofeng Guan, Matteo Rossi, Fabio Schreiber and Letizia Tanca
One of the travelers? main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to solve ...
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Laila Esheiba, Amal Elgammal, Iman M. A. Helal and Mohamed E. El-Sharkawi
Manufacturers today compete to offer not only products, but products accompanied by services, which are referred to as product-service systems (PSSs). PSS mass customization is defined as the production of products and services to meet the needs of indiv...
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