scholarly journals A Sightseeing Spot Recommendation System That Takes into Account the Visiting Frequency of Users

2020 ◽  
Vol 9 (7) ◽  
pp. 411
Author(s):  
Yudai Kato ◽  
Kayoko Yamamoto

The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system that can efficiently and usefully support tourists while considering their visiting frequencies. This system was developed by integrating social networking services (SNSs), Web-geographic information systems (GIS) and recommendation systems. The system recommends sightseeing spots to users with different visiting frequencies, adopting two recommendation methods (knowledge-based recommendation and collaborative recommendation methods). Additionally, the system was operated for six weeks in Kamakura City, Kanagawa Prefecture, Japan, and the total number of users was 61. Based on the results of the web questionnaire survey, the usefulness of the system when sightseeing was high, and the recommendation function of sightseeing spots, which is an original function, received mainly good ratings. From the results of the access analysis of users’ log data, the total number of sessions in this system was 329, 77% used mobile devices, and smartphones were used most frequently. Therefore, it is evident that the system was used by different types of devices just as it was designed for, and that the system was used according to the purpose of the present study, which is to support the sightseeing activities of users.

2018 ◽  
Vol 7 (8) ◽  
pp. 296
Author(s):  
Shota Asukai ◽  
Kayoko Yamamoto

The present study aimed to design, develop, operate, and evaluate a recommendation system for meeting places targeting groups of two or more people during events. The system was designed and developed by integrating an accessibility database, as well as a recommendation system, and linking with Google Maps and social networking services (SNSs, Twitter and LINE). Additionally, the system was operated for 5 weeks with people mainly in the Tokyo metropolitan area, with Japan as the target, and the total number of users was 59. Based on the results of the web questionnaire survey, it was made evident that the system is useful for groups when meeting up, and the entry function for the nearest station to one’s home, as well as the recommendation function for meet-up stations, which was the original functions of the system, received generally good reviews. From the results of access analysis of the users’ log data, it was made evident that the system was used regardless of the type of device, just as the system was designed for, and that the system was used in harmony with the aim of the present study, which is to recommend meet-up stations for groups.


Author(s):  
Riki Afriansyah

KThe existence of a school website is very important to disseminate information needed for schools, teachers, students and the community. With the website, information can be easily managed by the school. For example, important announcement information, the school operator can input the information through the website portal so that the public can read the information effectively and efficiently without having to come to school. In addition, the public can communicate with school operators through the chat feature and download the required documents via the web. Another feature is the photo album and video activities carried out by the school as a promotional media as well as the features that are connected to social networking services namely Instagram. The results of the final interview this activity was obtained that this website provides many benefits for the community as well as ease in managing information systems by operator.


Author(s):  
CLAUDE MOULIN ◽  
CRISTIAN LAI

This paper discusses harmonization issues between the management of resources stored locally by users in personal repositories and the management of resources shared by a community which they belong to. The solution consists in maintaining the same kind of indexing. We discuss some requirements that the motivation implies and we present some choices that have been done for engineering the system that allows to manage different types of resources and that allows to describe them with ontological elements. This paper focuses on a knowledge-based representation of resources that supports the service that the community can bring to its members. We develop our approach of semantic indexing. Some constraints due to the nature of a distributed index are also presented. Peer to peer based communities rely on a decentralized system. The paper also presents the system engineering of a prototype that gives access to the resources. It explains how the architecture is structured and the role of its layers. The Web design of the front-end guarantees an anywhere and anytime access to the resources. The system supports an easy scalability thanks to its underlying architecture based on web services.


Author(s):  
K. G. Srinivasa ◽  
G. M. Siddesh ◽  
Srinidhi Hiriyannaiah ◽  
Kushagra Mishra ◽  
Coca Sai Prajeeth ◽  
...  

Nowadays hybrid recommender systems are used, which utilize both collaborative and content based filtering techniques unlike the FoF system that have been presented in the chapter. Social networking services (SNSs) provide a platform where likeminded people interact and express opinions. The trends of socializing have changed drastically and the general population is turning to these services to socialize and network with new people. Massive infrastructure compliments uninterrupted usage of these services. Owing to the rapidly growing user base of SNSs, there is always a need to improve upon the existing infrastructure to keep cost and performance in tune with one another. GPUs are proving to be a viable solution to bridge the gap between the two. In this chapter, we describe GPU implementation of a Friend recommender system which is based on content-based filtering mechanism. It has given significant speed up from its previous counterparts, thus making the whole process more efficient.


2019 ◽  
Author(s):  
Jungu Kim ◽  
Su Cheol Kim ◽  
Jaegwon Jeong ◽  
Myeong Gyu Kim

BACKGROUND Methylphenidate, a stimulant used to treat attention deficit hyperactivity disorder (ADHD), has the potential for nonmedical uses such as study and recreation. In the era of active use of social networking services (SNSs), experience with the nonmedical use or side effects of methylphenidate might be shared on Twitter. OBJECTIVE To analyze monthly tweets about methylphenidate, its nonmedical use and side effects, and user sentiments about methylphenidate. METHODS Tweets mentioning methylphenidate from August 2018 to July 2019 were collected using search terms for methylphenidate and its brand names. Only tweets written in English were included. The monthly number of tweets about methylphenidate and the number of tweets containing keywords related to the nonmedical use and side effects of methylphenidate were analyzed. Precision was calculated as the number of true nonmedical use or side effects divided by the number of tweets containing each keywords. Sentiment analysis was conducted using the text and emoji in tweets, and tweets were categorized as very negative (less than -3), negative (-3 to -1), neutral (0), positive (1 to 3), or very positive (more than 3), depending on the sentiment score. RESULTS A total of 4,169 tweets were ultimately selected for analysis. The number of tweets per month was lowest in August (n=264) and highest in May (n=435). There were 292 (7.0%) tweets about nonmedical uses of methylphenidate. Among those, 200 (4.8%) described use for studying, and 15 (0.4%) described use for recreation. In 91 (2.2%) tweets, snorting methylphenidate was mentioned. Side effects of methylphenidate, mainly poor appetite (n=74, 1.8%) and insomnia (n=54, 1.3%), were reported in 316 (7.6%) tweets. The average sentiment score was 0.027 ± 1.475, and neutral tweets were the most abundant (n=1,593, 38.2%). CONCLUSIONS Tweets about methylphenidate were most abundant in May, mentioned nonmedical use for study or recreation, and contained information about side effects. Analysis of Twitter has the advantage of saving the cost and time needed to conduct a survey, and could help identify nonmedical uses and side effects of drugs.


SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402097916
Author(s):  
Carlota Lorenzo-Romero ◽  
María-Encarnación Andrés-Martínez ◽  
María Cordente-Rodríguez ◽  
Miguel Ángel Gómez-Borja

This work aims to study the web innovation strategies used by Spanish companies in the fashion and accessories sector, with the specific aim of analyzing co-creation as an innovation strategy so that this link with customers will improve efficiency and effectiveness in decision-making. Qualitative research was carried out through in-depth interviews with Spanish professionals and companies in the fashion and accessories sector. Then, a theoretical model was proposed. This model integrates value co-creation, social networking, participation, engagement, feedback, and other variables. This qualitative analysis has relevant value for the professional sector because there are many papers from consumers’ perspective; however, studies from the retail sector’s perspective are less common in the literature. This study contributes ideas for the strategy of co-participation with clients to improve the activity and management of fashion companies.


2020 ◽  
Vol 69 (8/9) ◽  
pp. 717-736
Author(s):  
Małgorzata Kowalska-Chrzanowska ◽  
Przemysław Krysiński

Purpose This paper aims to answer the question of how the Polish representatives of social communication and media sciences communicate the most recent scientific findings in the media space, i.e. what types of publications are shared, what activities do they exemplify (sharing information about their own publications, leading discussions, formulating opinions), what is the form of the scientific communication created by them (publication of reference lists' descriptions, full papers, preprints and post prints) and what is the audience reception (number of downloads, displays, comments). Design/methodology/approach The authors present the results of analysis conducted on the presence of the most recent (2017–2019) publications by the Polish representatives of the widely understood social communication and media sciences in three selected social networking services for scientists: ResearchGate, Google Scholar and Academia.edu. The analyses covered 100 selected representatives of the scientific environment (selected in interval sampling), assigned, according to the OECD classification “Field of Science”, in the “Ludzie nauki” (Men of Science) database to the “media and communication” discipline. Findings The conducted analyses prove a low usage level of the potential of three analysed services for scientists by the Polish representatives of social communication and media sciences. Although 60% of them feature profiles in at least one of the services, the rest are not present there at all. From the total of 113 identified scientists' profiles, as little as 65 feature publications from 2017 to 2019. Small number of alternative metrics established in them, implies, in turn, that if these metrics were to play an important role in evaluation of the value and influence of scientific publications, then this evaluation for the researched Polish representatives of social communication and media sciences would be unfavourable. Originality/value The small presence of the Polish representatives of the communication and media sciences in three analysed services shows that these services may be – for the time being – only support the processes of managing own scientific output. Maybe this quite a pessimistic image of scientists' activities in the analysed services is conditioned by a simple lack of the need to be present in electronic channels of scientific communication or the lack of trust to the analysed services, which, in turn, should be linked to their shortcomings and flaws. However, unequivocal confirmation of these hypotheses might be brought by explorations covering a larger group of scientists, and complemented with survey studies. Thus, this research may constitute merely a starting point for further explorations, including elaboration of good practices with respect to usage of social media by scientists.


Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 65
Author(s):  
Yuta Nemoto ◽  
Vitaly Klyuev

While users benefit greatly from the latest communication technology, with popular platforms such as social networking services including Facebook or search engines such as Google, scientists warn of the effects of a filter bubble at this time. A solution to escape from filtered information is urgently needed. We implement an approach based on the mechanism of a metasearch engine to present less-filtered information to users. We develop a practical application named MosaicSearch to select search results from diversified categories of sources collected from multiple search engines. To determine the power of MosaicSearch, we conduct an evaluation to assess retrieval quality. According to the results, MosaicSearch is more intelligent compared to other general-purpose search engines: it generates a smaller number of links while providing users with almost the same amount of objective information. Our approach contributes to transparent information retrieval. This application helps users play a main role in choosing the information they consume.


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