A location-sensitive over-the-counter medicines recommender based on tensor decomposition

Hao, Fei; Park, Doo-Soon; Yin, Xiaoyan; Wang, Xiaoming; Vilakone, Phonexay

doi:10.1007/s11227-018-2314-9

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…In the scientific library, it supports users to move beyond catalog searches. Inside the methodology, there are various methods, such as content-based filtering, collaborative filtering and hybrid filtering [6]. Collaborative filtering is the most powerful and widely used technique in the recommendation system [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

The Efficiency of a DoParallel Algorithm and an FCA Network Graph Applied to Recommendation System

Vilakone

Park

2020

Applied Sciences

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This article investigates the efficiency of a doParallel algorithm and a formal concept analysis (FCA) network graph applied to recommendation systems. It is the first article using the FCA method to create a network graph and apply this graph to improve the accuracy of a recommendation system. According to the fundamental knowledge about users who have similar feature information, they may like the same items. This idea was used to create an FCA network graph. In the proposed process, the k-clique method was used to divide this network graph into various communities. A combination of the k-nearest neighbor and the betweenness centrality methods was used to find a suitable community for a new user based on the feature information similarities between the new user and an existing user in each community. Finally, a data mining method created a list of items from suitable communities and recommended them to the new user. In essence, the execution in this article uses a doParallel algorithm as a mechanism in parallel processing technology. The result of the implementation is satisfactory. It proved that the proposed method could resolve the cold-start problem in a recommendation system and may overcome the vast time consumption when a huge dataset is involved.

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Section: Introductionmentioning

confidence: 99%

The Efficiency of a DoParallel Algorithm and an FCA Network Graph Applied to Recommendation System

Vilakone

Park

2020

Applied Sciences

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“…Hao et al [11] propose an efficient OTC medicine recommendation strategy based on tensor decomposition. Considering the impact of regional differentiation, a thirdorder tensor including medicine, location, and rating is constructed.…”

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confidence: 99%

Human–computer cooperation for future computing

2019

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The extensive development of HCI technology has reached its limit due to diverse computing devices and human preferences. To deal with the problem, we need to actively and voluntarily integrate all-detected user's intents to deliver optimal results to the user on diverse computing environments. In traditional HCI, a user receives a valid response from a computer only if the user accurately transmits intention to the computer using a very refined expression consciously in a single way. In humancomputer cooperation (HCC) technology, a computer can understand intention of a user group using conscious input obtained by diverse input devices and types and unconscious responses obtained by physical response and environmental information through various wearable sensors. Through simple and intuitive inputs and interactive responses between a user and a computer, HCC technologies develop an interface which helps users to reach the clear results what users want. This special issue is soliciting high-quality technical papers addressing research achievements, practices and challenges for human-computer cooperation techniques. Original and research articles are solicited in all aspects of including theoretical studies, practical applications, new social technology and experimental prototypes.This special issue is soliciting high-quality technical papers addressing research practices and challenges in the areas of human-computer cooperation. It will reflect the state of the art of the computational methods, involving theory, algorithm, numerical simulation, error and uncertainty analysis and/or novel application of new processing B Byeong-Seok Shin

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Distribution Pattern Learning for Social Resources in a Golden Snub-Nosed Monkey Community

Qiang

Guo

et al. 2019

Lecture Notes in Electrical Engineering

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A location-sensitive over-the-counter medicines recommender based on tensor decomposition

Cited by 6 publications

References 19 publications

The Efficiency of a DoParallel Algorithm and an FCA Network Graph Applied to Recommendation System

The Efficiency of a DoParallel Algorithm and an FCA Network Graph Applied to Recommendation System

Human–computer cooperation for future computing

Distribution Pattern Learning for Social Resources in a Golden Snub-Nosed Monkey Community

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