scholarly journals Characterizing and Predicting Reviews for Effective Product Marketing and Advancement

2021 ◽  
Vol 2 (2) ◽  
pp. 1-4
Author(s):  
Aihsan Suhail ◽  
Keyword(s):  
Online Media ◽  
Online Surveys ◽  
Product Marketing ◽  
Effective Product ◽  
Unstructured Information ◽  
The Web

In the present made world, dependably, individuals around the planet grant through different stages on the Web. It has been addressed, about 71% of by and large online customers read online surveys going before buying a thing. Thing considers, particularly the early surveys (i.e., the investigations posted at the beginning time of a thing), astoundingly impact coming about thing deals. We call the clients who posted the early examinations as "early investigators". Be that as it may, early specialists contribute just a little level of surveys, their feelings can pick the achievement or disappointment of new things and associations. It is immense for relationship to perceive early spectators since their responses can assist relationship with changing publicizing frameworks and improve thing plans, which can at last incite the accomplishment of their new things. And in dependably, a mass extent of unstructured information is made. This information is as text, which is accumulated from get-togethers, online media regions, surveys. Such information is named as gigantic information. Client feelings are identified with a wide degree of spotlights like on express things also. These investigations can be mined utilizing different movements and are of everything considered significance to make checks since they unmistakably pass on the perspective of the bigger part. Online outlines moreover have become a basic wellspring of data for clients going before settling on an educated buy choice. Early examiner's appraisals and their got strength scores are apparently going to influence thing notoriety. The test is to assemble all the audits, in like way find and investigate the assessments, to locate something refined, that scores high evaluating.

scholarly journals Characterizing and Predicting Reviews for Effective Product Marketing and Advancement

2021 ◽  
pp. 389-396
Author(s):  
Aihsan Suhail ◽  
Halima Sadia ◽  
Faiyaz Ahmad
Keyword(s):  
Analyst Forecast ◽  
Online Surveys ◽  
Rating Score ◽  
Web Based ◽  
Product Marketing ◽  
Edge Based ◽  
In The Beginning ◽  
Effective Product ◽  
Relationship Of ◽  
The Relationship

Online surveys have become a significant wellspring of data for clients prior to settling on an educated buy choice. Early audits of an item will in general exceptionally affect the ensuing item deals. In this paper, we step up and study the conduct qualities of early reviewer through their posted audits on our shopping gateway. In explicit, we partition item lifetime into three back to back stages, in particular early, lion's share. A client who has posted a survey in the beginning phase is considered as an early analyst. We quantitatively describe early reviewer dependent on their rating practices, the supportiveness scores got from others and the relationship of their surveys with item prevalence. We have tracked down that (1) an early analyst will in general relegate a higher normal rating score; and (2) an early reviewer will in general post more supportive audits. Our examination of item surveys additionally demonstrates that early reviewers appraisals and their got support scores are probably going to impact item prominence. By survey audit posting measure as a multiplayer rivalry game, we propose a novel edge based implanting model for early analyst forecast. Broad investigations on two diverse web based business datasets have shown that our proposed approach beats various cutthroat baselines.

Semantic Web Adaptation

2011 ◽  
pp. 78-88
Author(s):  
Alexander Mikroyannidis ◽  
Babis Theodoulidis
Keyword(s):  
Semantic Web ◽  
Web Sites ◽  
Web Usage Mining ◽  
New Era ◽  
Automatic Reasoning ◽  
Web Usage ◽  
User Friendly ◽  
Unstructured Information ◽  
The Web ◽  
The Way

The rate of growth in the amount of information available in the World Wide Web has not been followed by similar advances in the way this information is organized and exploited. Web adaptation seeks to address this issue by transforming the topology of a Web site to help users in their browsing tasks. In this sense, Web usage mining techniques have been employed for years to study how the Web is used in order to make Web sites more user-friendly. The Semantic Web is an ambitious initiative aiming to transform the Web to a well-organized source of information. In particular, apart from the unstructured information of today’s Web, the Semantic Web will contain machine-processable metadata organized in ontologies. This will enhance the way we search the Web and can even allow for automatic reasoning on Web data with the use of software agents. Semantic Web adaptation brings traditional Web adaptation techniques into the new era of the Semantic Web. The idea is to enable the Semantic Web to be constantly aligned to the users’ preferences. In order to achieve this, Web usage mining and text mining methodologies are employed for the semi-automatic construction and evolution of Web ontologies. This usage-driven evolution of Web ontologies, in parallel with Web topologies evolution, can bring the Semantic Web closer to the users’ expectations.

scholarly journals TRENDS: How Internet Search Undermines the Validity of Political Knowledge Measures

2019 ◽  
Vol 73 (1) ◽  
pp. 141-155
Author(s):  
Brianna Smith ◽  
Scott Clifford ◽  
Jennifer Jerit
Keyword(s):  
Search Engine ◽  
Observational Studies ◽  
Search Behavior ◽  
Political Knowledge ◽  
Factual Knowledge ◽  
Internet Search ◽  
Online Surveys ◽  
The Web

Political knowledge is central to understanding citizens’ engagement with politics. Yet, as surveys are increasingly conducted online, participants’ ability to search the web may undermine the validity of factual knowledge measures. Recent research shows this search behavior is common, even when respondents are instructed otherwise. However, we know little about how outside search affects the validity of political knowledge measures. Using a series of experimental and observational studies, we provide consistent evidence that outside search degrades the validity of political knowledge measures. Our findings imply that researchers conducting online surveys need to take steps to discourage and diagnose search engine use.

scholarly journals Web 3.0: Governance, Risks and Safeguards

2015 ◽  
Vol 31 (3) ◽  
pp. 1037 ◽  
Author(s):  
Rikus (Hendrik Jacobus) Bruwer ◽  
Riaan Rudman
Keyword(s):  
Technological Advancement ◽  
Control Cost ◽  
Web 3.0 ◽  
Web Experience ◽  
And Control ◽  
Unstructured Information ◽  
Interactive Experience ◽  
Network Organisations ◽  
Insight Into ◽  
The Web

<p>Many organisations consider technology as a significant asset to generate income and control cost. The Web is recognised as the fastest growing publication medium of all time. This mass of unstructured information presents many new opportunities for organisations. The Web acts as an enabler for technological advancement, and has matured in its own unique way. From the static informative characteristics of Web 1.0, it progressed into the interactive experience Web 2.0 provides. The next phase of Web evolution, Web 3.0, is already in progress. Web 3.0 entails an integrated Web experience where the machine will be able to understand and catalogue data in a manner similar to humans. This will facilitate a world wide data warehouse where any format of data can be shared and understood by any device over any network. Organisations need to be ready, and acquire knowledge about the opportunities and risks arising from Web 3.0 technologies. The objective of this study is to investigate the risks an organisation will be exposed to when interacting with Web 3.0 technologies. The study proposes to provide insight into the risks arising from the use of Web 3.0, and to recommend possible safeguards to mitigate these risks to an acceptable level.</p>

US Cities and Social Networking

2012 ◽  
pp. 65-83
Author(s):  
Alana Northrop
Keyword(s):  
Web 2.0 ◽  
Social Networking ◽  
Random Sample ◽  
Real World ◽  
Information Technologies ◽  
The Internet ◽  
Online Surveys ◽  
Level Of Use ◽  
Us Cities ◽  
The Web

This chapter presents the results of a random study of US cities’ and mayors’ uses of five social networking features: Facebook, MySpace, YouTube, Twitter, and LinkedIn as well as city use of online surveys. Data from a random sample of fifty cities stratified on population indicates that only Facebook is used by a majority of cities’ websites and mayors. The lower level of use of Twitter and YouTube and less than universal use of Facebook is complemented by a very low level of citizen followers, viewers, and friends. Most cities also do not use online surveys on their websites. This low use likely just reflects government’s tendency to follow trends rather than lead and is not a statement about cities’ lack of citizen orientation. It also appears to be a reflection of smaller cities adopting information technologies more slowly than larger cities when we compare 2010 data with that from early in 2011. Nonetheless, the result is that the potential positive opportunities for cities and mayors to connect and converse with citizens via Web 2.0 are under-realized if we just look at the Internet social networking face presented, and if cities do not get on the Web 2.0 bandwagon in this regard, citizens, especially younger ones, may feel that it is another example of government being out of touch with what is happening in the “real” world.

Intervening to Reduce Satisficing Behaviors in Web Surveys

2016 ◽  
Vol 36 (1) ◽  
pp. 57-81 ◽  
Author(s):  
Chan Zhang ◽  
Frederick G. Conrad
Keyword(s):  
Online Survey ◽  
Underlying Mechanism ◽  
Item Nonresponse ◽  
Web Surveys ◽  
Online Surveys ◽  
General Increase ◽  
Shed Light ◽  
The Web ◽  
Interactive Medium

Most online surveys still look and feel much like paper questionnaires. In particular, although the web is an interactive medium, web surveys rarely exploit this interactive capability. One exception is a series of demonstrations that online survey respondents seem to become more conscientious when prompted (usually with a brief textual message) in response to behaviors like item nonresponse, nondifferentiation, and answering very quickly. While these earlier studies have found that interactive intervention can reduce the occurrence of these behaviors, the underlying mechanism—why the intervention works—remains unclear. To shed light on this, we conducted two experiments to explore why respondents might change their behavior after being prompted. Part of the explanation lies in whether the benefits of the intervention are specific to the targeted behavior or lead to a general increase in conscientious responding. The findings show that intervention can lead to genuine improvement in respondent behaviors, but it also runs the risk of producing socially desirable bias in survey answers.

scholarly journals Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites

2018 ◽  
Vol 30 (12) ◽  
pp. 2271-2284 ◽  
Author(s):  
Ting Bai ◽  
Wanye Xin Zhao ◽  
Yulan He ◽  
Jian-Yun Nie ◽  
Ji-Rong Wen
Keyword(s):  
Product Marketing ◽  
Effective Product
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