Usage Data for Predicting User Trends and Behavioral Analysis in E-Commerce Applications

2021 ◽  
Vol 13 (4) ◽  
pp. 40-61
Author(s):  
Sathiyamoorthi V. ◽  
T. Nadana Ravishankar ◽  
Ilavarasi A. K. ◽  
Sridhar Udayakumar ◽  
Karthikeyan Harimoorthy ◽  
...  
Keyword(s):  
Online Shopping ◽  
Research Work ◽  
Behavioral Analysis ◽  
Market Conditions ◽  
User Interactions ◽  
Vast Amount ◽  
User Access ◽  
Internet Environment ◽  
The Right ◽  
Day By Day

Reviewing and buying the right goods from online websites is growing day by day in today's fast internet environment. Numerous goods in the same label are available to consumers. It is thus a difficult job for consumers to pick up the correct commodity at a decent price under different market conditions. Therefore, it is important for owners of online shopping websites to better understand their customers' needs and offer better services. For these reasons, the access log documented a vast amount of data related to user interactions with the websites. This access log therefore plays a key role in predicting user access trends and in recommending the best product to consumers. This research work therefore focuses on one such methodology for evaluating the pattern and behavioral analysis of users in e-commerce websites.

The behavioral analysis of choice difficulty states during clothing online shopping

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yumiao Chen ◽  
Zhongliang Yang
Keyword(s):  
Online Shopping ◽  
Research Work ◽  
Behavioral Analysis ◽  
Behavioral Performance ◽  
Choice Overload ◽  
Threshold Values ◽  
Content Type ◽  
Behavioral Indicators ◽  
Reported Study ◽  
Practical Implications

PurposeChoice overload in e-commerce induces choice difficulty, which is detrimental to shopping decision-making. The purpose of this paper is to provide relatively simple and effective methods and indicators to detect and assess the choice difficulty states of customers during clothing online shopping.Design/methodology/approachIn order to find out the behavioral performance of choice difficulty states during clothing online shopping, the authors performed the following steps: at first, the authors conducted an experiment to record the videos of the purchasing process during clothing online shopping. Then, the authors carried out the behavioral analysis of customers, correlating each behavioral index to choice difficulty states.FindingsThe results of the behavioral analysis in this study have indicated that three types of behavior were significantly correlated to the choice difficulty states of customers.Practical implicationsIt is expected that it would be possible to use the threshold values of behavioral indicators to determine whether and when the customer is suffering from choice phobia disorder. Based on the findings, a recommender system with timely interventions to help customers with choice difficulty to make shopping decisions will be developed in the future.Originality/valueThis is the first reported study that explores the possibility of using behavioral indicators to detect choice difficulty, which will remain helpful to the scientific community to start further customer-centered research work and development of clothing online shopping.

Character Reorganization and Categorization using Hybrid Algorithms by Scanned Documents

2019 ◽  
Vol 8 (6S2) ◽  
pp. 943-948
Keyword(s):  
Research Work ◽  
Hybrid Algorithms ◽  
Research Topic ◽  
Image Processing Techniques ◽  
Digital Books ◽  
Otsu Method ◽  
Challenging Research ◽  
Processing Techniques ◽  
Scanned Documents ◽  
Day By Day

Detection and reorganization of text may save a lot of time while reproducing old books text and its chapters. This is really challenging research topic as different books may have different font types and styles. The digital books and eBooks reading habit is increasing day by day and new documents are producing every day. So in order to boost the process the text reorganization using digital image processing techniques can be used. This research work is using hybrid algorithms and morphological algorithms. For sample we have taken an letter pad where the text and images are separated using algorithms. The another objective of this research is to increase the accuracy of recognized text and produce accurate results. This research worked on two different concepts, first is concept of Pixel-level thresholding processing and another one is Otsu Method thresholding.

Design, Development and Comparison of Heuristic Driven Algorithms Based on the Crossed Domain Products’ Reviews for User’s Summarization

2020 ◽  
Vol 13 (5) ◽  
pp. 884-892
Author(s):  
Sartaj Ahmad ◽  
Ashutosh Gupta ◽  
Neeraj Kumar Gupta
Keyword(s):  
Decision Making ◽  
Online Shopping ◽  
Recent Time ◽  
Design Development ◽  
Different Types ◽  
Feature Based ◽  
Use Of Internet ◽  
Day By Day ◽  
Better Than

Background: In recent time, people love online shopping but before any shopping feedbacks or reviews always required. These feedbacks help customers in decision making for buying any product or availing any service. In the country like India this trend of online shopping is increasing very rapidly because awareness and the use of internet which is increasing day by day. As result numbers of customers and their feedbacks are also increasing. It is creating a problem that how to read all reviews manually. So there should be some computerized mechanism that provides customers a summary without spending time in reading feedbacks. Besides big number of reviews another problem is that reviews are not structured. Objective: In this paper, we try to design, implement and compare two algorithms with manual approach for the crossed domain Product’s reviews. Methods: Lexicon based model is used and different types of reviews are tested and analyzed to check the performance of these algorithms. Results: Algorithm based on opinions and feature based opinions are designed, implemented, applied and compared with the manual results and it is found that algorithm # 2 is performing better than algorithm # 1 and near to manual results. Conclusion: Algorithm # 2 is found better on the different product’s reviews and still to be applied on other product’s reviews to enhance its scope. Finally, it will be helpful to automate existing manual process.

Valid Signature Detection and Verification for Security of Individual Person

2016 ◽  
Vol 1 (1) ◽  
pp. 50-53 ◽  
Author(s):  
Varun Sharma ◽  
Narpat Singh
Keyword(s):  
Neural Network ◽  
Comparative Analysis ◽  
Recent Work ◽  
Research Work ◽  
Early Research ◽  
Individual Person ◽  
Signature Detection ◽  
Online Signature ◽  
The Right ◽  
Handwritten Signature

In the recent research work, the handwritten signature is a suitable field to detection of valid signature from different environment such online signature and offline signature. In early research work, a lot of unauthorized person put the signature and theft the data in illegal manner from organization or industries. So we have to need identify, the right person on the basis of various parameters that can be detected. In this paper, we have proposed two methods namely LDA and Neural Network for the offline signature from the scan signature image. For efficient research, we have focused the comparative analysis in terms of FRR, SSIM, MSE, and PSNR. These parameters are compared with the early work and the recent work. Our proposed work is more effective and provides the suitable result through our method which leads to existing work. Our method will help to find legal signature of authorized use for security and avoid illegal work.

Exploring User Information Needs in Online Pet Adoption Profiles

2020 ◽  
Vol 64 (1) ◽  
pp. 1308-1312
Author(s):  
Zoe M. Becerra ◽  
Sweta Parmar ◽  
Keenan May ◽  
Rachel E. Stuck
Keyword(s):  
Information Needs ◽  
Online Shopping ◽  
Physical Characteristics ◽  
User Needs ◽  
User Group ◽  
Animal Shelters ◽  
Types Of Information ◽  
The Right ◽  
And Behavior ◽  
Level Of Importance

With the increase of online shopping, animal shelters can use websites to allow potential adopters to view adoptable animals and increase the number of adoptions. However, little research has evaluated the information needs of this user group. This study conducted a user needs analysis to determine the types of information potential adopters want when searching for a new pet, specifically a cat or dog. Twenty-six participants ranked different behavioral and physical characteristics based on the level of importance and identified their top five overall characteristics. In general, cat adopters ranked the cat’s personality and behavior to be very important and dog adopters found physical characteristics highly important. This study shows the importance of understanding potential adopters’ needs to provide relevant and valued information on online pet adoption profiles. The recommendations and insights can be used to develop pet profiles that meet adopters’ needs and help adopters find the right pet.

Quantification of Effects of Ridge and Valley Topography on the Rayleigh Wave Characteristics

2018 ◽  
Vol 12 (03) ◽  
pp. 1850007 ◽  
Author(s):  
J. P. Narayan ◽  
A. Kumar
Keyword(s):  
Rayleigh Wave ◽  
Rayleigh Waves ◽  
Large Scale ◽  
Research Work ◽  
Vertical Component ◽  
Staggered Grid ◽  
Long Span ◽  
Shape Ratio ◽  
Day By Day ◽  
Ridge And Valley

The effects of ridge and valley on the characteristics of Rayleigh waves are presented in this paper. The research work carried out has been stimulated by the day by day increase of long-span structures in the hilly areas which are largely affected by the spatial variability in ground motion caused by the high-frequency Rayleigh waves. The Rayleigh wave responses of the considered triangular and elliptical ridge and valley models were computed using a fourth-order accurate staggered-grid viscoelastic P-SV wave finite-difference (FD) program. The simulated results revealed very large amplification of the horizontal component and de-amplification of the vertical component of Rayleigh wave at the top of a triangular ridge and de-amplification of both the components at the base of the triangular valley. The observed amplification of both the components of Rayleigh wave in front of elliptical valley was larger than triangular valley models. A splitting of the Rayleigh wave wavelet was inferred after interaction with ridge and valley. It is concluded that the large-scale topography acts as a natural insulator for the surface waves and the insulating capacity of the valley is more than that of a ridge. This insulation phenomenon is arising due to the reflection, diffraction and splitting of the surface wave while moving across the topography. It is concluded that insulating potential of the topography for the Rayleigh waves largely depends on their shape and shape-ratio.

scholarly journals Penentuan Harga Opsi Barrier Menggunakan Metode Trinomial Kamrad-Ritchken Dengan Volatilitas Model Garch

2019 ◽  
Vol 10 (1) ◽  
pp. 83-92
Author(s):  
S Sulastri ◽  
Lienda Novieyanti ◽  
Sukono Sukono
Keyword(s):  
Stock Price ◽  
Option Price ◽  
Barrier Options ◽  
Barrier Option ◽  
Market Conditions ◽  
Strike Price ◽  
Daily Data ◽  
Closing Price ◽  
The Right ◽  
Initial Price

Abstract. This study aims to minimize the violation of the assumptions of determining price options by taking into account the actual market conditions in order to obtain the right price that will provide high profits for investors. The method used to determine the option price in this study is the Kamrad Ritchken trinomial with volatility values that will be modeled first using GARCH. The data used in this study is daily data (5 working days per week) from the closing price of the stock price of PT. Bank Rakyat Indonesia, Tbk (BBRI. Based on the results of the research, the best model is GARCH (1,1). For the call up barrier option, increase the strike price with the initial price and barrier which causes the option price to call up the barrier "in" and "out" decreases, on the contrary to the put barrier option, an increase in strike price with the initial price and a barrier that causes the put barrier option price to both put up-in and put up-out. initial and barrier which still causes the call down barrier option price both in and out decreases, on the contrary in the put down barrier option, increasing strike price with the initial price and barrier which causes the put down barrier option price to increase in and out.Keywords: Barrier Options, Trinomial, Kamrad Ritchken, Volatility, GARCH  Abstrak. Penelitian ini bertujuan untuk meminimalkan pelanggaran asumsi-asumsi penentuan harga opsi dengan memperhatikan kondisi pasar yang sebenarnya sehingga diperoleh harga yang tepat yang akan memberikan keuntungan tinggi bagi investor. Metode yang digunakan untuk menentukan harga opsi dalam penelitian ini adalah trinomial Kamrad Ritchken dengan nilai volatilitas yang akan dimodelkan terlebih dahulu dengan menggunakan GARCH. Data yang digunakan dalam penelitian ini adalah data harian (5 hari kerja per minggu) dari harga penutupan harga saham PT. Bank Rakyat Indonesia, Tbk (BBRI). Berdasarkan hasil penelitian diperoleh model yang paling baik adalah GARCH (1,1). Untuk opsi call up barrier, peningkatan strike price dengan harga awal dan barrier yang tetap menyebabkan harga opsi call up barrier baik "in" maupun "out" menurun, sebaliknya pada opsi put barrier, peningkatan strike price dengan harga awal dan barrier yang tetap menyebabkan harga opsi put barrier baik put up-in maupun put up-out meningkat. Sedangkan untuk opsi call barrier, peningkatan strike price dengan harga awal dan barrier yang tetap menyebabkan harga opsi call down barrier baik in maupun out menurun, sebaliknya pada opsi put down barrier, peningkatan strike price dengan harga awal dan barrier yang tetap menyebabkan harga opsi put down barrier baik in maupun out meningkat.Kata Kunci :  Opsi Barrier, Trinomial, Kamrad Ritchken, Volatilitas, GARCH

scholarly journals Comparison of the flank and ventral midline approach for ovariohysterecto-my in bitches

2020 ◽  
Vol 22 (98) ◽  
pp. 63-68
Author(s):  
A. D. Stepanov
Keyword(s):  
Abdominal Wall ◽  
Research Work ◽  
White Line ◽  
Lateral Abdominal Wall ◽  
Surgical Access ◽  
Anterior Edge ◽  
Vertical Incision ◽  
Surgical Sutures ◽  
The Right ◽  
Midline Approach

Surgical access for ovariohysterectomy in bitches through the right lateral abdominal wall with an incision in its upper third in the direction from the anterior edge of the macula to the fourth nipple of the corresponding side of the breast is proposed. The article presents the results of studies obtained when used for the purpose of ovariohysterectomy in bitches of operative access through the right lateral and ventral abdominal wall. Research work was conducted on healthy mature bitches. The operations were performed in the area of the right lateral abdominal wall and in the umbilical region. On the lateral abdominal wall, an oblique-vertical incision was used at the border of the inguinal and iliac areas in the direction from the anterior edge of the macula to the fourth nipple of the corresponding side of the breast. The ventral abdominal wall was cut along the white line. It was found that when performing ovariohysterectomy in bitches using the proposed surgical access through the right lateral abdominal wall with a smaller wound size (P < 0.05), the duration of the operation and the healing period correspond to those when using median laparotomy. It is proved that operative access with oblique-vertical incision in the area of the right lateral abdominal wall at the border of the groin and anus during ovariohysterectomy in bitches provides favorable opportunities for surgical reception and closure of the surgical wound. The number of surgical sutures for sutures on the abdominal wall is less than in the case of ventral access (P < 0.01). It is also noted that in ovariohysterectomy in bitches, operative access through the right lateral abdominal wall with an incision in the direction from the anterior edge of the macula to the fourth nipple of the corresponding side of the breast may be recommended as an alternative access through the white line of the abdomen.

scholarly journals Fundamental Investigation for Processing of Pb-Cu-S-Bearing Materials

Metals ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 74
Author(s):  
Christoph Zschiesche ◽  
Jürgen Antrekowitsch
Keyword(s):  
Oxygen Potential ◽  
Lead Concentration ◽  
Raw Materials ◽  
Research Work ◽  
Distribution Coefficients ◽  
Condensed Phases ◽  
Fundamental Investigation ◽  
Bearing Materials ◽  
The Right ◽  
The Impact

The processing of polymetallic materials provides some challenges to every flowsheet. Within Aurubis Cu-Pb-metallurgical flowsheet, a broad range of raw materials and intermediates are processed. Continuous improvements are required to adapt the flowsheet according to the changing material quantity and quality. Therefore, thermodynamic modeling is the desired and most efficient way to conduct scenario analysis. Hence, databases and software are becoming better and better as the acceptance of this method increased. Further understanding is promoted by conducting experimental test work to validate the calculated results. In this research work, the impact of various oxygen potential on the formation of the condensed phases’ slag, matte, speiss and crude lead were investigated. A frequent check of slag metallurgy, in particular, the iron and lead concentration, provide feedback if the metallurgical process is operating at the right oxygen potential. Following, the calculated distribution coefficients for Cu, Pb, As, Sb, Sn and Ni between matte/speiss and speiss/lead are discussed.

scholarly journals Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid COVID-19 Pandemic

2021 ◽  
Vol 13 (18) ◽  
pp. 10221
Author(s):  
Sufyan Habib ◽  
Nawaf N. Hamadneh
Keyword(s):  
Perceived Risk ◽  
Purchase Intention ◽  
Online Shopping ◽  
Research Work ◽  
Mobile Internet ◽  
Growth Potential ◽  
Internet Technology ◽  
Consumer Trust ◽  
Online Purchase ◽  
The Impact

E-commerce industry has witnessed a phenomenal growth globally due to the sudden spread of the COVID-19 pandemic and the advancement of mobile Internet technology, with fast adaption of online shopping technologies by the customers. Previously, online shopping was only available in a few product categories and to a select group of consumers. The COVID-19 guidelines related to safety, physical distancing, closure, lockdown, and other restrictions have insisted that consumers shop online. Because of e-commerce growth, the grocery (FMCG) industry is also equipped with advanced technologies such as the Internet of Things (IoT), cloud computing, and block chain technology. This paper analyzes the UTAUT2 model and its influence on perceived risk and consumer trust in online purchase intention of grocery categories of products among Indian customers. We tried to analyze the growth potential of new technologies in grocery retail and formulated the hypotheses. The results showed that the spread of COVID-19 pandemic had a significant influence on the online shopping behavior of Indian customers. The outcome of the study partly assists businesses in understanding the impact of the factors of consumer adaption of technology, perceived risk associated with online transaction, consumer trust in online technologies and consumer online purchase intention of grocery products. To promote e-commerce in India, the current study suggests that marketers should try to develop consumer trust and lowering the perceived risk associated with online shopping. Some management implications and future area of study based on empirical findings are also highlighted in the present research work.

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