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Articles 6391 - 6420 of 9024
Full-Text Articles in Computer Sciences
Examining The Growth Of Digital Wireless Phone Technology: A Take-Off Theory Analysis, Angsana A. Techatassanasoontorn, Robert J. Kauffman
Examining The Growth Of Digital Wireless Phone Technology: A Take-Off Theory Analysis, Angsana A. Techatassanasoontorn, Robert J. Kauffman
Research Collection School Of Computing and Information Systems
The early phase of diffusion plays a critical role in determining information technology (IT) success in a market. Takeoff, the transition point from the introduction to the growth phase in the IT life cycle, is viewed as an acid test for whether a technology will succeed. We develop a theory to understand global takeoff for digital wireless phones that can be extended to other technologies with related characteristics. Drawing on technology dominance and product life cycle theories, we build a model that consists of standards, market competition, technology costs, and technology substitution to explain takeoff and subsequent market penetration growth. …
Digital Certificate Management: Optimal Pricing And Crl Releasing Strategies, Jie Zhang, Nan Hu, M. K. Raka
Digital Certificate Management: Optimal Pricing And Crl Releasing Strategies, Jie Zhang, Nan Hu, M. K. Raka
Research Collection School Of Computing and Information Systems
The fast growth of e-commerce and online activities places increasing needs for authentication and secure communication to enable information exchange and online transactions. The public key infrastructure (PKI) provides a promising foundation for meeting such demand, in which certificate authorities (CAs) provide digital certificates. In practice, it is critical to understand consumer purchasing and revocation behaviors so that CAs can better manage the digital certificates and its CRL releasing process. To address this problem, we analytically model a CA's pricing and revocation releasing strategies taking into consideration the users' rational decisions. The model provides solutions two main research questions: (1) …
Livelabs: Building An In-Situ Real-Time Mobile Experimentation Testbed, Rajesh Krishna Balan, Archan Misra, Youngki Lee
Livelabs: Building An In-Situ Real-Time Mobile Experimentation Testbed, Rajesh Krishna Balan, Archan Misra, Youngki Lee
Research Collection School Of Computing and Information Systems
We present LiveLabs, a mobile experimentation testbed that is currently deployed across our university campus with further deployments at a large shopping mall, a commercial airport, and a resort island soon to follow. The key goal of LiveLabs is to allow in-situ real-time experimentation of mobile applications and services that require context-specific triggers with real participants on their actual smart phones. We describe how LiveLabs works, and then explain the novel R&D required to realise it. We end with a descriptionof the current LiveLabs status (> 700 active participants to date) as well as present some key lessons learned.
Predicting Response In Mobile Advertising With Hierarchical Importance-Aware Factorization Machine, Richard Jayadi Oentaryo, Ee Peng Lim, Jia Wei Low, David Lo, Michael Finegold
Predicting Response In Mobile Advertising With Hierarchical Importance-Aware Factorization Machine, Richard Jayadi Oentaryo, Ee Peng Lim, Jia Wei Low, David Lo, Michael Finegold
Research Collection School Of Computing and Information Systems
Mobile advertising has recently seen dramatic growth, fueled by the global proliferation of mobile phones and devices. The task of predicting ad response is thus crucial for maximizing business revenue. However, ad response data change dynamically over time, and are subject to cold-start situations in which limited history hinders reliable prediction. There is also a need for a robust regression estimation for high prediction accuracy, and good ranking to distinguish the impacts of different ads. To this end, we develop a Hierarchical Importance-aware Factorization Machine (HIFM), which provides an effective generic latent factor framework that incorporates importance weights and hierarchical …
Representative Discovery Of Structure Cues For Weakly-Supervised Image Segmentation, Luming Zhang, Yue Gao, Yingjie Xia, Ke Lu, Jialie Shen, Rongrong Ji
Representative Discovery Of Structure Cues For Weakly-Supervised Image Segmentation, Luming Zhang, Yue Gao, Yingjie Xia, Ke Lu, Jialie Shen, Rongrong Ji
Research Collection School Of Computing and Information Systems
Weakly-supervised image segmentation is a challenging problem with multidisciplinary applications in multimedia content analysis and beyond. It aims to segment an image by leveraging its imagelevel semantics (i.e., tags). This paper presents a weakly-supervised image segmentation algorithm that learns the distribution of spatially structural superpixel sets from image-level labels. More specifically, we first extract graphlets from a given image, which are small-sized graphs consisting of superpixels and encapsulating their spatial structure. Then, an ecient manifold embedding algorithm is proposed to transfer labels from training images into graphlets. It is further observed that there are numerous redundant graphlets that are not …
Barometric Phone Sensors: More Hype Than Hope!, Kartik Muralidharan, Azeem Javed Khan, Archan Misra, Rajesh Krishna Balan, Sharad Agarwal
Barometric Phone Sensors: More Hype Than Hope!, Kartik Muralidharan, Azeem Javed Khan, Archan Misra, Rajesh Krishna Balan, Sharad Agarwal
Research Collection School Of Computing and Information Systems
The inclusion of the barometer sensor in smartphones signaled an opportunity for aiding indoor localization efforts. In this paper, we therefore investigate a possible use of the barometer sensor for detecting vertically oriented activities. We start by showing the accuracies of various commodity measurement devices and the challenges they bring forth. We then show how to use the barometer values to build a predictor that can detect floor changes and the mode (elevator, escalator, or stairs) used to change floors with nearly 100% accuracy. We validate these properties with data collected using 3 different measurement devices from 7 different buildings. …
Extended Comprehensive Study Of Association Measures For Fault Localization, Lucia Lucia, David Lo, Lingxiao Jiang, Ferdian Thung, Aditya Budi
Extended Comprehensive Study Of Association Measures For Fault Localization, Lucia Lucia, David Lo, Lingxiao Jiang, Ferdian Thung, Aditya Budi
Research Collection School Of Computing and Information Systems
Spectrum-based fault localization is a promising approach to automatically locate root causes of failures quickly. Two well-known spectrum-based fault localization techniques, Tarantula and Ochiai, measure how likely a program element is a root cause of failures based on profiles of correct and failed program executions. These techniques are conceptually similar to association measures that have been proposed in statistics, data mining, and have been utilized to quantify the relationship strength between two variables of interest (e.g., the use of a medicine and the cure rate of a disease). In this paper, we view fault localization as a measurement of the …
Parameter Synthesis For Hierarchical Concurrent Real-Time Systems, Étienne André, Yang Liu, Jun Sun, Jin Song Dong
Parameter Synthesis For Hierarchical Concurrent Real-Time Systems, Étienne André, Yang Liu, Jun Sun, Jin Song Dong
Research Collection School Of Computing and Information Systems
Modeling and verifying complex real-time systems, involving timing delays, are notoriously difficult problems. Checking the correctness of a system for one particular value for each delay does not give any information for other values. It is thus interesting to reason parametrically, by considering that the delays are parameters (unknown constants) and synthesizing a constraint guaranteeing a correct behavior. We present here Parametric Stateful Timed Communicating Sequential Processes, a language capable of specifying and verifying parametric hierarchical real-time systems with complex data structures. Although we prove that the synthesis is undecidable in general, we present several semi-algorithms for efficient parameter synthesis, …
Towards Verification Of Computation Orchestration, Jin Song Dong, Yang Liu, Jun Sun, Xian Zhang
Towards Verification Of Computation Orchestration, Jin Song Dong, Yang Liu, Jun Sun, Xian Zhang
Research Collection School Of Computing and Information Systems
Recently, a promising programming model called Orc has been proposed to support a structured way of orchestrating distributed Web Services. Orc is intuitive because it offers concise constructors to manage concurrent communication, time-outs, priorities, failure of Web Services or communication and so forth. The semantics of Orc is precisely defined. However, there is no automatic verification tool available to verify critical properties against Orc programs. Our goal is to verify the orchestration programs (written in Orc language) which invoke web services to achieve certain goals. To investigate this problem and build useful tools, we explore in two directions. Firstly, we …
Model Checking Approach To Automated Planning, Yi Li, Jin Song Dong, Jing Sun, Yang Liu, Jun Sun
Model Checking Approach To Automated Planning, Yi Li, Jin Song Dong, Jing Sun, Yang Liu, Jun Sun
Research Collection School Of Computing and Information Systems
Model checking provides a way to automatically explore the state space of a finite state system based on desired properties, whereas planning is to produce a sequence of actions that leads from the initial state to the target goal states. Previous research in this field proposed a number of approaches for connecting model checking with planning problem solving. In this paper, we investigate the feasibility of using an established model checking framework, Process Analysis Toolkit (PAT), as a planning solution provider for upper layer applications. To achieve this, we first carry out a number of experiments on different model checking …
Learning Assumptions For Compositional Verification Of Timed Systems, Shang-Wei Lin Lin, Yang Liu, Jun Sun, Jun Sun
Learning Assumptions For Compositional Verification Of Timed Systems, Shang-Wei Lin Lin, Yang Liu, Jun Sun, Jun Sun
Research Collection School Of Computing and Information Systems
Compositional techniques such as assume-guarantee reasoning (AGR) can help to alleviate the state space explosion problem associated with model checking. However, compositional verification is difficult to be automated, especially for timed systems, because constructing appropriate assumptions for AGR usually requires human creativity and experience. To automate compositional verification of timed systems, we propose a compositional verification framework using a learning algorithm for automatic construction of timed assumptions for AGR. We prove the correctness and termination of the proposed learning-based framework, and experimental results show that our method performs significantly better than traditional monolithic timed model checking.
Towards Formal Modelling And Verification Of Pervasive Computing Systems, Yan Liu, Xian Zhang, Yang Liu, Jin Song Dong, Jun Sun, Jit Biswas, Mounir Mokhtari
Towards Formal Modelling And Verification Of Pervasive Computing Systems, Yan Liu, Xian Zhang, Yang Liu, Jin Song Dong, Jun Sun, Jit Biswas, Mounir Mokhtari
Research Collection School Of Computing and Information Systems
Smart systems equipped with emerging pervasive computing technologies enable people with limitations to live in their homes independently. However, lack of guarantees for correctness prevent such system to be widely used. Analysing the system with regard to correctness requirements is a challenging task due to the complexity of the system and its various unpredictable faults. In this work, we propose to use formal methods to analyse pervasive computing (PvC) systems. Firstly, a formal modelling framework is proposed to cover the main characteristics of such systems (e.g., context-awareness, concurrent communications, layered architectures). Secondly, we identify the safety requirements (e.g., free of …
Virtualization-Based System Hardening Against Untrusted Kernels, Yueqiang Cheng
Virtualization-Based System Hardening Against Untrusted Kernels, Yueqiang Cheng
Dissertations and Theses Collection (Open Access)
Applications are integral to our daily lives to help us processing sensitive I/O data, such as individual passwords and camera streams, and private application data, such as financial information and medical reports. However, applications and sensitive data all surfer from the attacks from kernel rootkits in the traditional architecture, where the commodity OS that is supposed to be the secure foothold of the system is routinely compromised due to the large code base and the broad attack surface. Fortunately, the virtualization technology has significantly reshaped the landscape of the modern computer system, and provides a variety of new opportunities for …
Running And Chasing: The Competition Between Paid Search Marketing And Search Engine Optimization, Kai Li, Mei Lin, Zhangxi Lin, Bo Xing
Running And Chasing: The Competition Between Paid Search Marketing And Search Engine Optimization, Kai Li, Mei Lin, Zhangxi Lin, Bo Xing
Research Collection School Of Computing and Information Systems
As search engine is leading the revenue growth in online marketing field, the competition of search engine marketing between paid search marketing (PSM) by search engine providers (SEPs), and search engine optimization (SEO) provided by search engine optimization firms, is white-hot. While PSM is simply for advertisers to buy the top ranks in sponsored links, SEO tries to optimize advertisers' websites by free-riding search engine's organic searching results. This study aims to investigate this competition by analytical modeling regarding organic search quality. We focus on sustainability conditions of SEO firms, investment analysis of SEO firms, and profit analysis of SEP. …
Personalizing Software Development Practice Using Mastery-Based Coaching, Chris Boesch, Sandra Boesch
Personalizing Software Development Practice Using Mastery-Based Coaching, Chris Boesch, Sandra Boesch
Research Collection School Of Computing and Information Systems
The authors previously developed a system to facilitate the self-directed learning and practicing of software languages in Singapore. One of the goals of this self-directed learning was to enable the development of student mentors who would then be able to assist other students during classroom sessions. Building on this work, the authors extended the platform to support personalized coaching with the goals of further enabling and preparing students to mentor their peers. This paper covers the challenges, insights, and features that were developed in order to develop and deploy this mastery-based coaching feature.
Generic Instance-Specific Automated Parameter Tuning Framework, Linda Lindawati
Generic Instance-Specific Automated Parameter Tuning Framework, Linda Lindawati
Dissertations and Theses Collection (Open Access)
Meta-heuristic algorithms play an important role in solving combinatorial optimization problems (COP) in many practical applications. The caveat is that the performance of these meta-heuristic algorithms is highly dependent on their parameter configuration which controls the algorithm behaviour. Selecting the best parameter configuration is often a difficult, tedious and unsatisfying task. This thesis studies the problem of automating the selection of good parameter configurations. Existing approaches to address the challenges of parameter configuration can be classified into one-size-fits-all and instance-specific approaches. One-size-fits-all approaches focus on finding a single best parameter configuration for a set of problem instances, while instance-specific approaches …
Using User Saliency For Effective Oled Display Power Management, Kiat Wee Tan
Using User Saliency For Effective Oled Display Power Management, Kiat Wee Tan
Dissertations and Theses Collection (Open Access)
The display component on mobile device has always been a main power drain compared to networking and processing components. Even with advancement in display technology such as Organic Light Emitting Diodes (OLED) displays to help reduce this cost, the increasing display size and new mobile usage paradigm (App stores and Social networking), the display still remains as the largest power drain component. In this thesis, we describe an approach to reduce power consumption on OLED display by dimming areas of the screen that the user might not be interested in. We determine these uninteresting areas by reviewing large number applications …
The Challenge Of Continuous Mobile Context Sensing, Rajesh Krishna Balan, Youngki Lee, Kiat Wee Tan, Archan Misra
The Challenge Of Continuous Mobile Context Sensing, Rajesh Krishna Balan, Youngki Lee, Kiat Wee Tan, Archan Misra
Research Collection School Of Computing and Information Systems
In this paper, we highlight the challenge of continuously sensing context data from mobile phones. In particular, we show that the energy cost of this type of continuous sensing is extremely high if a) accuracy is desired, and b) power optimisations do not work well if multiple tasks are sensing concurrently. Our results are derived from our experience in building the LiveLabs context sensing platform. We present results for different types of sensing tasks; ranging from simple sensing using just one sensor all the way to multi-sensor sensing performed by concurrent high-level tasks. We end with a discussion of the …
An Approach For Clone Detection In Documentation Reuse, Dmitry V. Lutsiv, Dmitry Koznov, Hamid A. Basit, Eng Lieh Ouh, Mikhail N. Smirnov, Konstantin Y. Romanovsky
An Approach For Clone Detection In Documentation Reuse, Dmitry V. Lutsiv, Dmitry Koznov, Hamid A. Basit, Eng Lieh Ouh, Mikhail N. Smirnov, Konstantin Y. Romanovsky
Research Collection School Of Computing and Information Systems
The paper focuses on the searching method for repetitions in DocBook/DRL or plain text documents. An algorithm has been designed based on software clone detection. The algorithm supports filtering results: clones are rejected if clone length in the group is less than 5 symbols, intersection of clone groups is eliminated, meaningfulness clones are removed, the groups containing clones consisting only of XML are eliminated. Remaining search is supported: found clones are extracted from the documentation, and clone search is repeated. One step is proved to be enough. Adaptive reuse technique of Paul Bassett – Stan Jarzabek has been implemented. A …
Measuring And Modelling The Thermal Performance Of The Tamar Suspension Bridge Using A Wireless Sensor Network, Nicholas De Battista, James M. W. Brownjohn, Hwee-Pink Tan, Ki Young Koo
Measuring And Modelling The Thermal Performance Of The Tamar Suspension Bridge Using A Wireless Sensor Network, Nicholas De Battista, James M. W. Brownjohn, Hwee-Pink Tan, Ki Young Koo
Research Collection School Of Computing and Information Systems
A study on the thermal performance of the Tamar Suspension Bridge deck in Plymouth, UK, is presented in this paper. Ambient air, suspension cable, deck and truss temperatures were acquired using a wired sensor system. Deck extension data were acquired using a two-hop wireless sensor network. Empirical models relating the deck extension to various combinations of temperatures were derived and compared. The most accurate model, which used all the four temperature variables, predicted the deck extension with an accuracy of 99.4%. Time delays ranging from 10 to 66 min were identified between the daily cycles of the air temperature and …
Coupling Graphs, Efficient Algorithms And B-Cell Epitope Prediction, Liang Zhao, Steven C. H. Hoi, Zhenhua Li, Limsoon Wong, Hung Nguyen
Coupling Graphs, Efficient Algorithms And B-Cell Epitope Prediction, Liang Zhao, Steven C. H. Hoi, Zhenhua Li, Limsoon Wong, Hung Nguyen
Research Collection School Of Computing and Information Systems
Coupling graphs are newly introduced in this paper to meet many application needs particularly in the field of bioinformatics. A coupling graph is a two-layer graph complex, in which each node from one layer of the graph complex has at least one connection with the nodes in the other layer, and vice versa. The coupling graph model is sufficiently powerful to capture strong and inherent associations between subgraph pairs in complicated applications. The focus of this paper is on mining algorithms of frequent coupling subgraphs and bioinformatics application. Although existing frequent subgraph mining algorithms are competent to identify frequent subgraphs …
Free Market Of Crowdsourcing: Incentive Mechanism Design For Mobile Sensing, Xinglin Zhang, Zheng Yang, Zimu Zhou, Haibin Cai, Lei Chen, Xiang-Yang Li
Free Market Of Crowdsourcing: Incentive Mechanism Design For Mobile Sensing, Xinglin Zhang, Zheng Yang, Zimu Zhou, Haibin Cai, Lei Chen, Xiang-Yang Li
Research Collection School Of Computing and Information Systems
Off-the-shelf smartphones have boosted large scale participatory sensing applications as they are equipped with various functional sensors, possess powerful computation and communication capabilities, and proliferate at a breathtaking pace. Yet the low participation level of smartphone users due to various resource consumptions, such as time and power, remains a hurdle that prevents the enjoyment brought by sensing applications. Recently, some researchers have done pioneer works in motivating users to contribute their resources by designing incentive mechanisms, which are able to provide certain rewards for participation. However, none of these works considered smartphone users’ nature of opportunistically occurring in the area …
Sherlock: Microenvironment Sensing For Smartphones, Zheng Yang, Longfei Shangguan, Weixi Gu, Zimu Zhou, Chenshu Wu, Yunhao Liu
Sherlock: Microenvironment Sensing For Smartphones, Zheng Yang, Longfei Shangguan, Weixi Gu, Zimu Zhou, Chenshu Wu, Yunhao Liu
Research Collection School Of Computing and Information Systems
Context-awareness is getting increasingly important for a range of mobile and pervasive applications on nowadays smartphones. Whereas human-centric contexts (e.g., indoor/ outdoor, at home/in office, driving/walking) have been extensively researched, few attempts have studied from phones’ perspective (e.g., on table/sofa, in pocket/bag/hand). We refer to such immediate surroundings as micro-environment, usually several to a dozen of centimeters, around a phone. In this study, we design and implement Sherlock, a micro-environment sensing platform that automatically records sensor hints and characterizes the micro-environment of smartphones. The platform runs as a daemon process on a smartphone and provides finer-grained environment information to upper …
Free Market Of Crowdsourcing: Incentive Mechanism Design For Mobile Sensing, Xinglin Zhang, Zheng Yang, Zimu Zhou, Haibin Cai, Lei Chen, Xiang-Yang Li
Free Market Of Crowdsourcing: Incentive Mechanism Design For Mobile Sensing, Xinglin Zhang, Zheng Yang, Zimu Zhou, Haibin Cai, Lei Chen, Xiang-Yang Li
Research Collection School Of Computing and Information Systems
Off-the-shelf smartphones have boosted large scale participatory sensing applications as they are equipped with various functional sensors, possess powerful computation and communication capabilities, and proliferate at a breathtaking pace. Yet the low participation level of smartphone users due to various resource consumptions, such as time and power, remains a hurdle that prevents the enjoyment brought by sensing applications. Recently, some researchers have done pioneer works in motivating users to contribute their resources by designing incentive mechanisms, which are able to provide certain rewards for participation. However, none of these works considered smartphone users’ nature of opportunistically occurring in the area …
On Empirical Validation Of Compactness Measures For Electoral Redistricting And Its Significance For Application Of Models In The Social Sciences, Christine Chou, Steven O. Kimbrough, Frederic H. Murphy, John Sullivan-Fedock, C. Jason Woodard
On Empirical Validation Of Compactness Measures For Electoral Redistricting And Its Significance For Application Of Models In The Social Sciences, Christine Chou, Steven O. Kimbrough, Frederic H. Murphy, John Sullivan-Fedock, C. Jason Woodard
Research Collection School Of Computing and Information Systems
Use of optimization models in science and policy applications is often problematic because the best available models are very inaccurate representations of the originating problems. Such is the case with electoral districting models, for which there exist no generally accepted measures of compactness, in spite of many proposals and much analytical study. This article reports on an experimental investigation of subjective judgments of compactness for electoral districts. The experiment draws on a unique database of 116 distinct, legally valid districting plans for the Philadelphia City Council, discovered with evolutionary computation. Subjects in the experiment displayed, in the aggregate, remarkable agreement …
Wenzher: Comprehensive Vertical Search For Healthcare Domain, Liqiang Nie, Tao Li, Mohammad Akbari, Jialie Shen, Tat-Seng Chua
Wenzher: Comprehensive Vertical Search For Healthcare Domain, Liqiang Nie, Tao Li, Mohammad Akbari, Jialie Shen, Tat-Seng Chua
Research Collection School Of Computing and Information Systems
Online health seeking has transformed the way of health knowledge exchange and reusability. The existing general and vertical health search engines, however, just routinely return lists of matched documents or question answer (QA) pairs, which may overwhelm the seekers or not sufficiently meet the seekers’ expectations. Instead, our multilingual system is able to return one multi-faceted answer that is well-structured and precisely extracted from multiple heterogeneous healthcare sources. Further, should the seekers not be satisfied with the returned search results, our system can automatically route the unsolved questions to the professionals with relevant expertise
A Robust Smart Card-Based Anonymous User Authentication Protocol For Wireless Communications, Fengton Wen, Willy Susilo, Guomin Yang
A Robust Smart Card-Based Anonymous User Authentication Protocol For Wireless Communications, Fengton Wen, Willy Susilo, Guomin Yang
Research Collection School Of Computing and Information Systems
Anonymous user authentication is an important but challenging task for wireless communications. In a recent paper, Das proposed a smart cardï based anonymous user authentication protocol for wireless communications. The scheme can protect user privacy and is believed to be secure against a range of network attacks even if the secret information stored in the smart card is compromised. In this paper, we reanalyze the security of Das' scheme, and show that the scheme is in fact insecure against impersonation attacks. We then propose a new smart cardï based anonymous user authentication protocol for wireless communications. Compared with the existing …
Cross-Domain Password-Based Authenticated Key Exchange Revisited, Liqun Chen, Hoon Wei Lim, Guomin Yang
Cross-Domain Password-Based Authenticated Key Exchange Revisited, Liqun Chen, Hoon Wei Lim, Guomin Yang
Research Collection School Of Computing and Information Systems
We revisit the problem of secure cross-domain communication between two users belonging to different security domains within an open and distributed environment. Existing approaches presuppose that either the users are in possession of public key certificates issued by a trusted certificate authority (CA), or the associated domain authentication servers share a long-term secret key. In this article, we propose a generic framework for designing four-party password-based authenticated key exchange (4PAKE) protocols. Our framework takes a different approach from previous work. The users are not required to have public key certificates, but they simply reuse their login passwords, which they share …
On The Security Of Auditing Mechanisms For Secure Cloud Storage, Yong Yu, Lei Niu, Guomin Yang, Yi Mu, Willy Susilo
On The Security Of Auditing Mechanisms For Secure Cloud Storage, Yong Yu, Lei Niu, Guomin Yang, Yi Mu, Willy Susilo
Research Collection School Of Computing and Information Systems
Cloud computing is a novel computing model that enables convenient and on-demand access to a shared pool of configurable computing resources. Auditing services are highly essential to make sure that the data is correctly hosted in the cloud. In this paper, we investigate the active adversary attacks in three auditing mechanisms for shared data in the cloud, including two identity privacy-preserving auditing mechanisms called Oruta and Knox, and a distributed storage integrity auditing mechanism.We show that these schemes become insecure when active adversaries are involved in the cloud storage. Specifically, an active adversary can arbitrarily alter the cloud data without …
Ratings Lead You To The Product, Reviews Help You Clinch It? The Dynamics And Impact Of Online Review Sentiments On Products Sales, Nan Hu, Noi Sian Koh, Srinivas K. Reddy
Ratings Lead You To The Product, Reviews Help You Clinch It? The Dynamics And Impact Of Online Review Sentiments On Products Sales, Nan Hu, Noi Sian Koh, Srinivas K. Reddy
Research Collection Lee Kong Chian School Of Business
It is generally assumed that ratings are a numeric representation of text sentiments and their valences are consistent. This however may not always be true. Using a panel of data on over 4000 books from Amazon.com, we develop a multiple equation model to examine the inter-relationships between ratings, sentiments, and sales. We find that ratings do not have a significant direct impact on sales but have an indirect impact through sentiments. Sentiments, however, have a direct significant impact on sales. Our findings also indicate that the two most accessible types of reviews - most helpful and most recent - play …