A framework analysis for managing feedback of visitors of a web site

Abstract

Purpose -An important issue in the management of a web-based user community, where users are registered to a web portal, is to identify patterns of users' interest. In this context, the users' feedback plays a major role. The purpose of this paper is to define a novel framework analysis for managing the feedback given by registered visitors of a web site. Design/methodology/approach -The paper presents a new technique to integrate the feedback explicitly given by users into already existing user profiles. The authors introduce the novel concepts of scope, filtering, and relevance profiles for managing users' feedback. The new concept of Relevance Profile (RP) is defined. Findings -Using the framework, the authors were able to discover patterns of usage of registered users of a web site. Practical implications -The practical applicability of the approach is validated by a use case study showing how the framework can be used with a real web site. The authors used Gugubarra as a reference system, a prototype for creating and managing web user profiles, developed by the DBIS group at the Goethe-University of Frankfurt. Originality/value -A new way to integrate the user feedback into interest profiles and a novel framework to analyze and discover patterns of interests are presented. The paper is an extended version (more than 50 per cent novel material) of a previous paper presented at the iiWAS2010 conference.

Sports lottery game prediction system development and evaluation on social networks

“…Finally, Section 5 concludes this paper. Thompson (2008) To make use of Facebook for highly sophisticated privacy control Ethics (privacy) Light and McGrath (2010) This study attempts to integrate social networks with sports lottery communities to enhance trust Ethics (trust) Protection configurations Acquisti and Gross (2006), Light and McGrath (2010), Karyda et al (2009) Schoen et al (2013) To support users with a communication platform to post and share information with each other Self-service Lin and Huang (2013), Ho et al (2012) To allow users to decide the prediction rate of betting games through multiple mechanisms, including votes, odds, and future events, not only single mechanism Prediction method Future events Decision support Taylor et al (2004) The related messages are aggregated into a game blog, which is a type of community blog Data integration Lin and Huang (2013) To provide users with statistical reports to enable them to verify their voting and betting decisions Prediction Ciou (2010) The prediction price can be used as a reference to predict whether an event occurs Prediction Future events The interactive strategies, such as interacting with Facebook in real time, posting and agentbased gift delivering functions, were designed to facilitate interaction among users Interactive Moreira et al (2013) Although several web analytics products and services are available, such as Google Analytics, for testing and evaluating a website, but such types of tools are not suitable for use Web development method Nakatani and Chuang (2011) A prototyping website development methodology Prototyping development method Che and Hou (2008) To identify the main stages and tasks involved in website development Prototyping development method Questionnaire Schefels and Zicari (2012) …”

Behavioral Analysis of Registered Web Site Visitors with Help of Mouse Tracking

“…Each row contains the calculated interest value of the user for a topic. The values of the interest value are in the interval In [4] we introduced the Relevance Profile (RP). The RP is calculated by integrating the two available profiles for the user, the NOP and the FP (Feedback Profile).…”

“…The previous version of the system analyzed an extended server log file for the computation of the implicit interest profile. In this paper, we extend the Relevance Profile (RP), first introduced in [3], [4], with data generated by the mouse activities of a web site user. The Relevance Profile is a container for all available interest profiles of a user.…”

“…If an empty FIFO is sent, we pad it with a special keep-alive event. In case the client crashes or something similar happens, this helps us in determining the last point in time, when there was still activity in the client.On the server side, the JSON encoded event list is then transformed into an XML notation, as seen inFigure 4, associated with the proper session of the user and stored into a transaction-based log for further processing by the Gugubarra Analyzer 4. http://mootools.net/ 5 JavaScript object notation -RFC 4627 and ECMAScript Standard…”

An Architecture to Enhance Post Retrieval Document Relevancy Using Integrated Techniques

“…For instance, combining both implicit and explicit RF to improve image retrievals [16] and to recommend e-books [17]. Studies particularly focusing on explicit RF were carried out by Schefels et al [18] to manage website visitor feedback and Takimoto [19] in the field of linguistic. Similarly, the current study adopts explicit RF via user ratings.…”