scholarly journals Effects of Advocacy Banners after Abandoning Products in Online Shopping Carts

10.28945/4310 ◽  
2019 ◽  
Vol 14 ◽  
pp. 165-181
Author(s):  
Hsiaoping Yeh ◽  
Fenghung Kuo
Keyword(s):  
Real Time ◽  
Future Research ◽  
Time Behavior ◽  
Data Mining Technique ◽  
Managerial Implication ◽  
Clickstream Data ◽  
The Real ◽  
Shopping Cart ◽  
Similar Item ◽  
Business Practitioners

Aim/Purpose: This study empirically analyzed and examined the effectiveness of the online advocacy banners on customers’ reactions to make replacements with the similar products in their shopping carts. Background: When a product in a shopping cart is removed, it might be put back into the cart again during the same purchase or it may be bought in the future. Otherwise, it might be abandoned and replaced with a similar item based on the customer’s enquiry list or on the recommendation of banners. There is a lack of understanding of this phenomenon in the existing literature, pointing to the need for this study. Methodology: With a database from a Taiwanese e-retailer, data were the tracks of empirical webpage clickstreams. The used data for analyses were particularly that the products were purchased again or replaced with the similar ones upon the advocacy banners being shown when they were removed from customers’ shopping carts. Few pre-defined Apriori rules as well as similarity algorithm, Jaccard index, were applied to derive the effectiveness. Contribution: This study addressed a measurement challenge by leveraging the information from clickstream data – particularly clickstream data behavior. These data are most useful to observe the real-time behavior of consumers on websites and also are applied to studying click-through behavior, but not click-through rates, for web banners. The study develops a new methodology to aid advertisers in evaluating the effectiveness of their banner campaign. Findings: The recommending/advocating titles of “you probably are interested” and “the most viewed” are not significantly effective on saving back customers’ removed products or repurchasing similar items. For the banners entitled “most buy”, “the most viewed” might only show popularity of the items, but is not enough to convince them to buy. At the current stage on the host website, customers may either not trust in the host e-retailer or in such mechanism. Additionally, the advocating/recommending banners only are effective on the same customer visits and their effects fade over time. As time passes, customers’ impressions of these banners may become vague. Recommendations for Practitioners: One managerial implication is more effective adoption of advocacy/recommendation banners on e-retailing websites. Another managerial implication is the evaluation of the advocacy/recommendation banners. By using a data mining technique to find the association between removed products and restored ones in e-shoppers’ shopping carts, the approach and findings of this study, which are important for e-retailing marketers, reflect the connection between the usage of banners and the personalized purchase changes in an individual customer’s shopping cart. Recommendation for Researchers: This study addressed a new measurement which challenges to leverage the information from clickstream data instead of click-through rates – particularly retailing webpages browsing behavior. These data are most useful to observe the real-time behavior of consumers on websites and also are applied to studying click-through behavior. Impact on Society: Personalization has become an important technique that allows businesses to improve both sales and service relationships with their online customers. This personalization gives e-marketers the ability to deliver real effectiveness in the use of banners. Future Research: The effectiveness is time- and case-sensible. Business practitioners and academic researchers are encouraged to apply the mining methodology to longevity studies, specific marketing campaigns of advertising and personal recommendations, and any further recommendation algorithms.

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

Structural Safety Monitoring during Retrofit of Shanghai Expo Puxi Entertainment Hall

2012 ◽  
Vol 226-228 ◽  
pp. 1203-1208
Author(s):  
Ming Zhao ◽  
Jun Liao
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Safety Monitoring ◽  
Structural Safety ◽  
Time Behavior ◽  
The Real ◽  
Space Truss ◽  
Safety Monitoring System ◽  
Space Truss Structure ◽  
Distributed Strain

Shanghai Expo Puxi Entertainment Hall is reconstructed based on existing workshop building. To meet new function requirements of the hall, a structural column is removed and replaced with a jacking beam. A structural safety monitoring system is proposed and applied to evaluate the real-time structural state and ensure the structural safety. Vibrating wire sensors and FBG sensors are installed to monitor the stress of member of the space truss structure; ForesightTM series DSTS (Distributed Strain and Temperature Sensors) is installed to monitor the stress of the jacking beam. Results show that the structural safety monitoring system works stably. The safety monitoring system reflects the real-time behavior of the structure and controls the structural reconstruction safety effectively.

The Real-Time Behavior of Chromium in Arthrobacter oxydans

2009 ◽  
Author(s):  
T. L. Kalabegishvili ◽  
A. N. Rcheulishvili ◽  
N. Y. Tsibakhashvili ◽  
I. G. Murusidze ◽  
S. M. Kerkenjia ◽  
...  
Keyword(s):  
Real Time ◽  
Time Behavior ◽  
The Real ◽  
Arthrobacter Oxydans

Utilization of Real Time Behavior and Geographical Attraction for Location Recommendation

2022 ◽  
Vol 8 (1) ◽  
pp. 1-30
Author(s):  
Xinyu Ren ◽  
Seyyed Mohammadreza Rahimi ◽  
Xin Wang
Keyword(s):  
Real Time ◽  
Spatial Patterns ◽  
Real World ◽  
Spatial Model ◽  
Geographical Information ◽  
Time Behavior ◽  
Location Recommendation ◽  
The Real ◽  
User Behaviors ◽  
Current Location

Personalized location recommendation is an increasingly active topic in recent years, which recommends appropriate locations to users based on their temporal and geospatial visiting patterns. Current location recommendation methods usually estimate the users’ visiting preference probabilities from the historical check-ins in batch. However, in practice, when users’ behaviors are updated in real-time, it is often cost-inhibitive to re-estimate and updates users’ visiting preference using the same batch methods due to the number of check-ins. Moreover, an important nature of users’ movement patterns is that users are more attracted to an area where have dense locations with same categories for conducting specific behaviors. In this paper, we propose a location recommendation method called GeoRTGA by utilizing the real time user behaviors and geographical attractions to tackle the problems. GeoRTGA contains two sub-models: real time behavior recommendation model and attraction-based spatial model. The real time behavior recommendation model aims to recommend real-time possible behaviors which users prefer to visit, and the attraction-based spatial model is built to discover the category-based spatial and individualized spatial patterns based on the geographical information of locations and corresponding location categories and check-in numbers. Experiments are conducted on four public real-world check-in datasets, which show that the proposed GeoRTGA outperforms the five existing location recommendation methods.

scholarly journals A Taxonomical Review of Multiplexer Designs for Electronic Circuits & Devices

2021 ◽  
Vol 3 (2) ◽  
pp. 77-88
Author(s):  
Malti Bansal ◽  
Harmandeep Singh ◽  
Gaurav Sharma
Keyword(s):  
Real Time ◽  
Time Use ◽  
Research Paper ◽  
Use Cases ◽  
Future Research ◽  
Electronic Circuits ◽  
Ongoing Research ◽  
The Real ◽  
Digital Electronics ◽  
History Of

This research paper reviews and briefly discusses about the multiplexers and demultiplexers. This research paper aims to explore the history of multiplexers, types of multiplexers, applications and the real-time use cases of multiplexers. Furthermore, it also includes a brief introduction on the different multiplexing techniques employed in analog and digital electronics, ongoing research studies and future research scope for multiplexers.

The Calculation of TTR in PROFIBUS System

2012 ◽  
Vol 482-484 ◽  
pp. 2183-2187 ◽  
Author(s):  
Li Ping Zhen ◽  
Shao Wei Si ◽  
Huan Qing Xie
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Selection Method ◽  
Time Behavior ◽  
The Real ◽  
Transmission Errors ◽  
Random Behavior ◽  
Token Passing ◽  
Master Station ◽  
The Impact

In PROFIBUS system, we analyzed the time behavior of data exchange and token-passing, and give the TTR selection method, when each master station holding enough token time. And then we discussed the random characteristics of networks and FDL, give the formula of random behavior to calculate time, and get the TTR and the revised value of TTR in PROFIBUS system which has FDL and MS1 communication. Finally, further discussed the case of transmission errors, analyzed the impact of transmission errors to TTR and the real-time of system, and give the TTR and the revised value in this situation.

scholarly journals Real-Time Flow Behavior of Hot Mix Asphalt (HMA) Compaction Based on Rheological Constitutive Theory

Materials ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1711
Author(s):  
Guoping Qian ◽  
Kaikai Hu ◽  
Xiangbing Gong ◽  
Ningyuan Li ◽  
Huanan Yu
Keyword(s):  
Rheological Properties ◽  
Real Time ◽  
Hot Mix Asphalt ◽  
Flow Behavior ◽  
Asphalt Mixture ◽  
Time Behavior ◽  
Compaction Process ◽  
Time Curve ◽  
The Real ◽  
Time Flow

Compaction is the most critical stage during pavement construction, but the real-time rheological behavior in the compaction process of hot mix asphalt has not received enough attention. Rheological properties directly reflect the of mixture performance, the intrinsic directly reflects the influencing factors of compaction, and the pavement compactness and service life. Therefore, it is important to interpret the rheological properties of the asphalt mixture during the compaction process. In this paper, the improved Nishihara model was used to study the viscoelastic-plastic properties of the hot mix asphalt in the compaction process. Firstly, the improved Nishihara model was briefly introduced. Subsequently, the stress and strain correlation curves are obtained by the MTS (Material Testing System) compaction test, and the strain-time curve is fitted to determine the model parameter values. Finally, the parameters are substituted into the constitutive equation to obtain the strain-time curve and compared it with the test curve. The results show that the improved Nishihara model effectively depicts the real time behavior of the asphalt mixture in the compaction progress. The viscos and plastic parameters present certain differences, which reflects that the gradation and temperature have certain influence on the compaction characteristics of the mixture.

scholarly journals INCREASING TRACKING ROBUSTNESS FOR LOW-COMPLEXITY REAL-TIME RECONSTRUCTIONS WITH HANDHELD OPTICAL SCANNERS

2019 ◽  
Vol XLII-2/W18 ◽  
pp. 115-120
Author(s):  
M. Lombardi ◽  
A. Riccardi ◽  
A. Signoroni
Keyword(s):  
Real Time ◽  
Quality Criteria ◽  
Pairwise Alignment ◽  
3D Models ◽  
Low Complexity ◽  
Time Behavior ◽  
The Real ◽  
Key Frame ◽  
Research Activities ◽  
3D Data Processing

Abstract. By offering fast and flexible solutions to create 3D models, handheld scanners are currently under the focus of many research activities in various 3D data processing fields. The real-time constraint is still challenging to achieve especially when it comes with concurrent needs, such as level of accuracy in the data acquisition, easiness of recovering from scanning interruptions or loop closure abilities... Among them, object/scene tracking quality is one of the most critical. In this work, we describe two issues that affects its performance, focusing on the robustness of the process. Specifically, we encounter such issues at to two different steps while moving through the working pipeline of a prototype handheld scanner, i.e. (1) the data pre-processing before running a pairwise alignment between a frame and the model representation, called key-frame, and (2) the temporal and quality criteria that govern key-frame updates. Our approach simply consists in substituting the use of a rigid (uniform) pattern for sampling, with a random distribution of points. We then implement an adaptive statistical method to select suitable timing steps for key-frames refreshing, comparing this solution with a previous static one based on regular updating rate. We run experiments on a dataset created with our own scanner and we show that the adoption of such alternatives reduce the number of tracking failures, consequently increasing the robustness of the system, improving the quality of the alignments and preserving the real-time behavior of the device.

scholarly journals Reliable Real-Time Ball Tracking for Robot Table Tennis

Robotics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 90 ◽  
Author(s):  
Sebastian Gomez-Gonzalez ◽  
Yassine Nemmour ◽  
Bernhard Schölkopf ◽  
Jan Peters
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Heuristic Algorithms ◽  
Vision System ◽  
Tracking System ◽  
Sampling Rate ◽  
Future Research ◽  
Table Tennis ◽  
The Real ◽  
Ball Tracking

Robot table tennis systems require a vision system that can track the ball position with low latency and high sampling rate. Altering the ball to simplify the tracking using, for instance, infrared coating changes the physics of the ball trajectory. As a result, table tennis systems use custom tracking systems to track the ball based on heuristic algorithms respecting the real-time constrains applied to RGB images captured with a set of cameras. However, these heuristic algorithms often report erroneous ball positions, and the table tennis policies typically need to incorporate additional heuristics to detect and possibly correct outliers. In this paper, we propose a vision system for object detection and tracking that focuses on reliability while providing real-time performance. Our assumption is that by using multiple cameras, we can find and discard the errors obtained in the object detection phase by checking for consistency with the positions reported by other cameras. We provide an open source implementation of the proposed tracking system to simplify future research in robot table tennis or related tracking applications with strong real-time requirements. We evaluate the proposed system thoroughly in simulation and in the real system, outperforming previous work. Furthermore, we show that the accuracy and robustness of the proposed system increases as more cameras are added. Finally, we evaluate the table tennis playing performance of an existing method in the real robot using the proposed vision system. We measure a slight increase in performance compared to a previous vision system even after removing all the heuristics previously present to filter out erroneous ball observations.

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