A rating aggregation method for generating product reputations

Many websites offer the opportunity for customers to rate items and then use customers' ratings to generate items reputation, which can be used later by other users for decision making purposes. The aggregated value of the ratings per item represents the reputation of this item. The accuracy of the reputation scores is important as it is used to rank items. Most of the aggregation methods didn't consider the frequency of distinct ratings and they didn't test how accurate their reputation scores over different datasets with different sparsity. In this work we propose a new aggregation method which can be described as a weighted average, where weights are generated using the normal distribution. The evaluation result shows that the proposed method outperforms state-of-the-art methods over different sparsity datasets.

A normal-distribution based rating aggregation method for generating product reputations

With the extensive use of rating systems in the web, and their significance in decision making process by users, the need for more accurate aggregation methods has emerged. The Naïve aggregation method, using the simple mean, is not adequate anymore in providing accurate reputation scores for items [6 ], hence, several researches where conducted in order to provide more accurate alternative aggregation methods. Most of the current reputation models do not consider the distribution of ratings across the different possible ratings values. In this paper, we propose a novel reputation model, which generates more accurate reputation scores for items by deploying the normal distribution over ratings. Experiments show promising results for our proposed model over state-of-the-art ones on sparse and dense datasets.

Effects of Social Media Platform Preference: a Country Comparison of Online University Reputations

Managing an online reputation is critical to higher education. Universities cannot afford to lose enrolment numbers by neglecting to monitor, control, promote and enhance their online presence. It is critical that universities measure their social media reputation scores and presence on the web, as well as those of their competitors. Universities need to continuously review their social engagement strategy and online reputation to ensure they maximize all opportunities to maintain, and improve student enrolment and retention. Universities have embraced social media to enhance their brand reputation. This study examines the use of social media and its effects from a global perspective. It analysed 90 universities in three geographical areas to assess the impact and level of online social media, especially as it relates to “university brand reputation.” Results of the study indicated there was a wide variation among the three geographical regions, and within countries in the three geographical regions. Use of social media communication tools such as Twitter and Google+ by active users also varied widely depending upon country and region.

Corporate brand identity management in a technological faculty – how brand relationships influence students and companies reputations

Identity is traditionally defined as an emission concept [1]. Yet, some research points out that there are external factors that can influence it [2]; [3]; [4]. This subject is even more relevant if one considers corporate brands. According to Aaker [5] the number, the power and the credibility of corporate associations are bigger in the case of corporate brands. Literature recognizes the influence of relationships between companies in identity management. Yet, given the increasingly important role of corporate brands, it is surprising that to date no attempt to evaluate that influence has been made in the management of corporate brand identity. Also Keller and Lehman [6] highlight relationships and costumer experience as two areas requiring more investigation. In line with this, the authors intend to develop an empirical research in order to evaluate the influence of relationships between brands in the identity of corporate brand from an internal perspective by interviewing internal stakeholders (brand managers and internal clients). This paper is organized by main contents: theoretical background, research methodology, data analysis and conclusions and finally cues to future investigation.

Stakeholder-defined corporate responsibility for a pre-credit-crunch financial service company: lessons for how good reputations are won and lost

This paper presents a study that identifies a stakeholder-defined concept of Corporate Responsibility (CR) in the context of a UK financial service organisation in the immediate pre-credit crunch era. From qualitative analysis of interviews and focus groups with employees and customers, we identify, in a wide-ranging stakeholder-defined concept of CR, six themes that together imply two necessary conditions for a firm to be regarded as responsible— both corporate actions and character must be consonant with CR. This provides both empirical support for a notable, recent theoretical contribution by Godfrey (in Acad Manag Rev 30:777–798, 2005) and novel lessons for reputation management practice.

Ethical behaviour: the means for creating and maintaining better reputations in arts organisations

Arts organisations, unsure of the level of continued government funding available and confronted with the need ever to improve, are seeking new ideas upon which they can focus. At a time when leadership and governance in arts organisations have changed in line with cultural expectations, how is their ethical stance assessed? How does their ethical stance impact on reputation? The challenge to build a good reputation starts at the top of the organisation; however, traditionally, one type of arts organisation, art museums, has focused on the activities level. In an age of globalisation, economic restructuring and technological change, museums therefore may be seen as a contradiction. Traditionally seen as temples for the muses, today’s museums are being challenged to be ethical for society and to build their reputation. As a solution, proposes a cooperative model of cultural organisational ethics that attempts to provide a framework by which arts organisations can put in place ethical artefacts that enhance organisational reputation, rather than detract from it.

Responsible management of online academic reputations

Online professional persona creation in academia provides individuals and their employing institutions a range of positive reputational benefits. However, not all academics are equipped to keep pace with the speed and dynamism of the new media environment. This paper examines the challenges experienced by academics who are communicating with multiple audiences across several online platforms, some mandated by their institutions. Some academics are vulnerable to the negative consequences of heightened exposure and need additional protection and support. This paper outlines a set of recommendations that centres on the need for universities to accept greater social responsibility in managing this emerging issue.

A Review on Repeated Games and Reputations with Incomplete Information

In this project we review the effects of reputation within the context of game theory. This is done through a study of two key papers. First, we examine a paper from Fudenberg and Levine: Reputation and Equilibrium Selection in Games with a Patient Player (1989). We add to this a review Gossner’s Simple Bounds on the Value of a Reputation (2011). We look specifically at scenarios in which a long-run player faces a series of short-run opponents, and how the former may develop a reputation. In turn, we show how reputation leads directly to both lower and upper bounds on the long-run player’s payoffs.

Reputations; essays in criticism,

Mode of access: Internet.

Le lutin couleur de feu, ou Mes tablettes d'une année. Moeurs, politique, reputations en 1818 et 1819.

Mode of access: Internet.

A Review on Repeated Games and Reputations with Incomplete Information

In this project we review the effects of reputation within the context of game theory. This is done through a study of two key papers. First, we examine a paper from Fudenberg and Levine: Reputation and Equilibrium Selection in Games with a Patient Player (1989). We add to this a review Gossner’s Simple Bounds on the Value of a Reputation (2011). We look specifically at scenarios in which a long-run player faces a series of short-run opponents, and how the former may develop a reputation. In turn, we show how reputation leads directly to both lower and upper bounds on the long-run player’s payoffs.

Youth Festival Music Performance : Kingston

Research Background - Young people with negative experiences of mainstream education often display low levels of traditional academic achievement. These young people tend to display considerable cultural and social resources developed through their repeated experiences of adversity. Education research has a duty to provide these young people with opportunities to showcase, assess and translate their social and cultural resources into symbolic forms of capital. This creative work addresses the research question, how can educators maximise the social and cultural capital they help young people acquire through live music performances and studio recordings? Research Contribution - This live music performance, built on existing artistic reputations of the artists, saw the lads support one of their local heroes from Brisbane Hip Hop music scene. In doing so they showcased what their three years of concerted musical engagement can achieve within supportive flexible learning environments. The new knowledge derived from this research focuses on the academic and self confidence benefits for disengaged young people using festival performances as authentic learning activities. Research Significance - This research is significant because it aims to maximise the number of tangible outcomes related to a school-based arts project. The young participants gained technical, artistic, social and commercial status during this project. Individual performances were distributed and downloaded via creative commons licences at the Australian Creative Resource Archive. This performance also contributed to their certified qualifications and acted as pilot research data for two competitively funded ARC grants (DP0209421 & LP0883643)

Recommending best answer in a collaborative question answering system

The World Wide Web has become a medium for people to share information. People use Web-based collaborative tools such as question answering (QA) portals, blogs/forums, email and instant messaging to acquire information and to form online-based communities. In an online QA portal, a user asks a question and other users can provide answers based on their knowledge, with the question usually being answered by many users. It can become overwhelming and/or time/resource consuming for a user to read all of the answers provided for a given question. Thus, there exists a need for a mechanism to rank the provided answers so users can focus on only reading good quality answers. The majority of online QA systems use user feedback to rank users’ answers and the user who asked the question can decide on the best answer. Other users who didn’t participate in answering the question can also vote to determine the best answer. However, ranking the best answer via this collaborative method is time consuming and requires an ongoing continuous involvement of users to provide the needed feedback. The objective of this research is to discover a way to recommend the best answer as part of a ranked list of answers for a posted question automatically, without the need for user feedback. The proposed approach combines both a non-content-based reputation method and a content-based method to solve the problem of recommending the best answer to the user who posted the question. The non-content method assigns a score to each user which reflects the users’ reputation level in using the QA portal system. Each user is assigned two types of non-content-based reputations cores: a local reputation score and a global reputation score. The local reputation score plays an important role in deciding the reputation level of a user for the category in which the question is asked. The global reputation score indicates the prestige of a user across all of the categories in the QA system. Due to the possibility of user cheating, such as awarding the best answer to a friend regardless of the answer quality, a content-based method for determining the quality of a given answer is proposed, alongside the non-content-based reputation method. Answers for a question from different users are compared with an ideal (or expert) answer using traditional Information Retrieval and Natural Language Processing techniques. Each answer provided for a question is assigned a content score according to how well it matched the ideal answer. To evaluate the performance of the proposed methods, each recommended best answer is compared with the best answer determined by one of the most popular link analysis methods, Hyperlink-Induced Topic Search (HITS). The proposed methods are able to yield high accuracy, as shown by correlation scores: Kendall correlation and Spearman correlation. The reputation method outperforms the HITS method in terms of recommending the best answer. The inclusion of the reputation score with the content score improves the overall performance, which is measured through the use of Top-n match scores.