scholarly journals DISCOVER POINTS OF INTEREST BASED ON USERS’ INTERNET SEARCHES THROUGH AN ONLINE SHOPPING WEBSITE

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 975-980
Author(s):  
G. Shahriari Mehr ◽  
M. R. Delavar ◽  
C. Claramunt ◽  
B. N. Araabi ◽  
M. R. A. Dehaqani
Keyword(s):  
Spatial Analysis ◽  
Recommendation System ◽  
Online Shopping ◽  
Contextual Information ◽  
Information Source ◽  
Primary Source ◽  
The Internet ◽  
Points Of Interest ◽  
Internet Searches ◽  
The City

Abstract. In recent years, the development of the Internet plays a significant role in human's daily activities. One of the most important effects of the Internet is the change in the process of shopping. The advent of online shopping leads to establish a new channel for customers to obtain information about their desired goods and demands. Although many customers collect information from online channel, they also wish to try and search for their required goods at the stores. Besides, discovering this data leads to a new source for spatial analysis to find the users’ interests. Therefore, we can consider this data as a contextual information source for spatial analysis or primary source for recommending points of interest (POIs). In this research, our aim is to discover a relation among the users' internet searches and the goods at the stores to recommend the best store to the users. Euclidean distance is used to calculate the similarity between users' searches and the available goods at the stores. The proposed method has been implemented in the city of Tehran, capital of Iran. The results show that the users’ internet search behavior plays an essential role in the recommendation system which provides stores to the users based on the similarity among the users’ internet searches and the available goods at the stores.

scholarly journals Personalized Music Recommendation Simulation Based on Improved Collaborative Filtering Algorithm

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Hui Ning ◽  
Qian Li
Keyword(s):  
Collaborative Filtering ◽  
Recommendation System ◽  
Contextual Information ◽  
Rapid Development ◽  
Theoretical Research ◽  
Context Information ◽  
Music Recommendation ◽  
Recommendation Algorithm ◽  
Points Of Interest ◽  
Popularity Prediction

Collaborative filtering technology is currently the most successful and widely used technology in the recommendation system. It has achieved rapid development in theoretical research and practice. It selects information and similarity relationships based on the user’s history and collects others that are the same as the user’s hobbies. User’s evaluation information is to generate recommendations. The main research is the inadequate combination of context information and the mining of new points of interest in the context-aware recommendation process. On the basis of traditional recommendation technology, in view of the characteristics of the context information in music recommendation, a personalized and personalized music based on popularity prediction is proposed. Recommended algorithm is MRAPP (Media Recommendation Algorithm based on Popularity Prediction). The algorithm first analyzes the user’s contextual information under music recommendation and classifies and models the contextual information. The traditional content-based recommendation technology CB calculates the recommendation results and then, for the problem that content-based recommendation technology cannot recommend new points of interest for users, introduces the concept of popularity. First, we use the memory and forget function to reduce the score and then consider user attributes and product attributes to calculate similarity; secondly, we use logistic regression to train feature weights; finally, appropriate weights are used to combine user-based and item-based collaborative filtering recommendation results. Based on the above improvements, the improved collaborative filtering recommendation algorithm in this paper has greatly improved the prediction accuracy. Through theoretical proof and simulation experiments, the effectiveness of the MRAPP algorithm is demonstrated.

Logika Fuzzy Model Tahani untuk Rekomendasi Pilihan Kursus di Kampung Inggris Pare Kedir

2016 ◽  
Vol 3 (3) ◽  
pp. 200
Author(s):  
Erna Daniati
Keyword(s):  
Language Learning ◽  
English Language ◽  
Recommendation System ◽  
Fuzzy Model ◽  
The Internet ◽  
Learning Center ◽  
Prospective Students ◽  
Use Of The Internet ◽  
The City ◽  
English Village

Kampung Inggris terletak di Pare Kabupaten Kediri Jawa Timur. Di tempat ini terdapat pusat pembelajaran Bahasa Inggris terbesar di Kota Kediri dan kemungkinan juga terbesar di Indonesia. Tidak jarang di Kampung Inggris ada banyak pendatang yang berasal dari luar kota dan pulau. Banyaknya peserta kursus yang datang dari berbagai penjuru daerah di Indonesia, penggunaan internet pun semakin berkembang dan para calon siswa akan menggunakan internet untuk mencari lembaga-lembaga kursus yang ada di Kampung Inggris karena dirasa lebih efektif dan efisien. Tidak jarang para calon peserta kursus lebih berminat pada pendaftaran sistem online dan menggunakan jasa rekomendasi dari situs-situs yang menyediakan jasa rekomendasi sekaligus reservasi karena dirasa lebih efisien. Dengan demikian rekomendasi reservasi pilihan tempat kursus sangat diperlukan oleh calon siswa, masalah ini dapat diselesaikan dengan menggunakan logika fuzzy dengan model tahani. Dimana calon peserta kursus, akan merasa terbantu dengan adanya sistem ini dengan memberikan rekomendasi lembaga-lembaga yang sesuai dengan kriteria calon peserta kursus dengan cara menginput kriteria pada sistem oleh pengguna. Sehingga pada akhir prosesnya, pengguna akan mendapatkan daftar rekomendasi lembaga yang direkomendasikan berdasarkan kriteria masukannya.English village is located in Pare, Kediri Regency, East Java. In this place, there is the largest English language learning center in Kediri and it is maybe the largest in Indonesia. It is not seldom in the English Village that many people who come from outside the city and the island. The number of course participants who came from around the region in Indonesia, the use of the Internet was growing and prospective students will use the internet to search the course institutions which existing in English Village because it was felt more effective and efficient. It is not infrequently the prospective course participants more interested in the online system of registration and use services of the recommendations of sites that provide services at the same time on the reservation, because it is considered more efficient. Thus the choice of the course on a reservation is required by prospective students, this problem can be solved by fuzzy logic model using tahani. Where prospective participants will feel be helped using this recommendation system with giving properly recomendation institutions using the criteria of prospective courses in way of inputing the criteria by user. So, the final process, the user will get a list of institution recommendations based on the criteria input.

scholarly journals Environmental impact of shopping via the internet

2020 ◽  
Vol 338 ◽  
pp. 33-42
Author(s):  
Oliver Sievering
Keyword(s):  
Environmental Impact ◽  
Environmental Impacts ◽  
Online Shopping ◽  
High Growth ◽  
The Internet ◽  
City Center ◽  
Return Rates ◽  
High Return ◽  
The City ◽  
Made In

Shopping via the internet is booming. High growth figures can still be expected in the future. More and more customers buy their goods online; the goods are then delivered to their home. Online customers especially love convenience. On the Internet, the large assortment is at a glance, the selection is independent of time and place, furthermore many products are cheaper. In this way, the customer can save money, save time and avoid ways to the city center. But is online shopping also climate-friendly? Climate-conscious behavior is an aspect that is currently being discussed a lot. The rapidly growing e-commerce is publicly criticized in many places for not being sustainable. Reference is made in particular to increase packaging waste, high return rates (and presumably destruction of returned goods) as well as longer distances that have to be covered for items in e-commerce on the way to the customer. Studies come to very different assessments of the environmental impact of ecommerce compared to traditional retail. This paper focuses on traffic-related environmental impacts when evaluating e-commerce.

scholarly journals Ekstraksi Informasi Destinasi Wisata Populer Jawa Timur Menggunakan Depth-First Crawling

2021 ◽  
Vol 21 (1) ◽  
pp. 229-236
Author(s):  
Sepyan Purnama Kristanto ◽  
Lutfi Hakim
Keyword(s):  
Spatial Analysis ◽  
Web Mining ◽  
Recommendation System ◽  
Human Life ◽  
The Internet ◽  
Large Area ◽  
Information Mining ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
The Many

Travel Destinations are an inseparable part of human life today. As one of the provinces with a large area, East Java is one of the most visited areas for its tourism. Many people are competing in finding information related to these tourist destinations on the internet, one of which is the Tripadvisor application. Of the many tourist attractions, several tourist attractions have different attractions and experiences each time. Tourists have widely used the Tripadvisor application in determining the location where they will visit on their vacation activities. With various features ranging from reviews and recommendations for sharing photos, TripAdvisor is one of the best applications in the inventory of tourist attractions. Of the many tourist destinations, it is necessary to analyze and evaluate both tourist attractions that have many visitors with tourist attractions that are rarely visited by both local and foreign visitors. This goal, information mining (web mining), was carried out on the TripAdvisor application to obtain information on East Java Province's popular destinations. Crawling results on the TripAdvisor website, obtained various kinds of information such as names of tourist attractions, locations, visitor reviews, photos, and ratings of these tourist attractions. Spatial Analysis, a Tourist Sentiment Analyst on tourist objects, can then be carried out. It can also be developed into the recommendation system for the best tourist attractions in East Java Province

scholarly journals PENGARUH PROMOSI TERHADAP MINAT BELANJA ONLINE MELALUI KEMAJUAN TEKNOLOGI INTERNET DI KOTA BLITAR

2019 ◽  
Vol 17 (1) ◽  
pp. 106
Author(s):  
Nunuk Latifah ◽  
Shanti Ike Wardani
Keyword(s):  
Social Media ◽  
General Population ◽  
Online Shopping ◽  
Internet Technology ◽  
The Internet ◽  
Online Technology ◽  
Modeling Analysis ◽  
The City

This article is done to find out and analyze the influence of promotion on interest in online shopping through the advancement of internet technology in Blitar City. The sample used was 150 respondents randomly from the general population of the City of Blitar which included 3 Subdistricts namely Sukorejo, Kepanjen Kidul and Sananwetan without any age, education, employment and other specifications due to the limitations of the researchers. The results of structural equestion modeling analysis show that the promotion carried out by online sellers in Blitar City through social media and the internet has given a tendency to influence the advancement of online technology by 28.7%. The promotion of products that exist in most social media or internet by product sellers has a tendency to influence the interest in online shopping in Blitar City by 47.1% and the advancement of online technology has provided a tendency to influence online shopping interest by 32.3%.

PENGELOLAAN DATA ANGGOTA BERBASIS WEBSITE DI YAMAHA VIXION CLUB CABANG BANDUNG

2020 ◽  
Vol 2 (2) ◽  
pp. 113-127
Author(s):  
Nova Indrayana Yusman
Keyword(s):  
Data Management ◽  
Organizational Structure ◽  
Human Resource Development ◽  
Human Resource ◽  
Programming Language ◽  
The Internet ◽  
Web Based ◽  
Management Software ◽  
The City ◽  
Data Management Software

Yamaha Vixion Club Bandung (YVCB) was formed on July 7, 2007 in the city of Bandung, as a place of friendship between Yamaha Vixion motorcyclists. In its organizational structure, YVCB has a Human Resource Development (HRD) division. Until now, there are more than 800 Yamaha Vixion Club Bandung members. This software is made to facilitate the work of the Yamaha Vixion Club Bandung HRD Division in processing member data. Created using Microsoft Webmatrix as an editor with the PHP programming language. The database uses MySQL with PHPMyAdmin as the software. The method used in making this software is prototyping so that between developers and customers can understand each other what the customer wants. The purpose of making web-based member data management software is that in terms of managing member data it can be done anytime and anywhere by just accessing the internet. In the use of the program, the author chose to use PHP, because PHP is the best and easiest to use in website programming language. Based on the last paragraph, the author intends to make aplication based computerized attendance so that become effective and efficient in terms of time.

A Survey on Database in Cloud Computing with Reference to the Traditional Database

2017 ◽  
Vol 7 (11) ◽  
pp. 150
Author(s):  
Eter Basar ◽  
Ankur Pan Saikia ◽  
L. P. Saikia
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
The Internet ◽  
Data Organization ◽  
Technology Industry ◽  
Business Applications ◽  
Business Information ◽  
Points Of Interest ◽  
Cloud Databases ◽  
Online Reservation

Data Technology industry has been utilizing the customary social databases for around 40 years. Be that as it may, in the latest years, there was a generous transformation in the IT business as far as business applications. Remain solitary applications have been supplanted with electronic applications, conferred servers with different proper servers and committed stockpiling with framework stockpiling. Lower expense, adaptability, the model of pay-as-you-go are the fundamental reasons, which caused the conveyed processing are transformed into reality. This is a standout amongst the hugest upsets in Information Technology, after the development of the Internet. Cloud databases, Big Table, Sherpa, and SimpleDB are getting the opportunity to be more natural to groups. They featured the hindrances of current social databases as far as convenience, adaptability, and provisioning. Cloud databases are basically utilized for data raised applications, for example, stockpiling and mining of gigantic information or business information. These applications are adaptable and multipurpose in nature. Various esteem based data organization applications, such as managing an account, online reservation, e-exchange and stock organization, and so on are delivered. Databases with the help of these sorts of uses need to incorporate four essential highlights: Atomicity, Consistency, Isolation, and Durability (ACID), in spite of the fact that utilizing these databases isn't basic for utilizing as a part of the cloud. The objective of this paper is to discover the points of interest and disservices of databases generally utilized in cloud frameworks and to survey the difficulties in creating cloud databases

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

A study of Leakage Ratio for increasing performance of online keyword search advertising

2019 ◽  
Vol 118 (1) ◽  
pp. 36-41
Author(s):  
Jung-Woo Lee ◽  
Seung-Cheon Kim ◽  
Sung-Hoon Kim ◽  
Jin-Ho Lim
Keyword(s):  
Online Shopping ◽  
Keyword Search ◽  
Online Advertising ◽  
The Internet ◽  
Shopping Malls ◽  
Portal Site ◽  
Internet Portal ◽  
Search Advertising ◽  
Large Size ◽  
Low Efficiency

Background/Objectives: In this study, research to improve efficiency of online advertising market, we would like to propose a new performance index called "Leakage Ratio" which can increase the efficiency of advertisement. Methods/Statistical analysis: Naver, the Internet portal site in Korea, is the most influential medium for online keyword search advertising. In this study, Leakage Ratio management is applied to online keyword search ads for five medium and large size online shopping malls at Naver. Based on the performance trend of each search keyword, we tried to improve the efficiency of the whole advertisement by changing the bid of the low efficiency keyword.

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