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[publication] Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems

Our publication on “Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems” in the International Journal on Open Information Review got published.

Abstract:

Purpose: The use of articles from scientific journals is an important part of research-based teaching at universities. The selection of relevant work from among the increasing amount of scientific literature can be problematic; the challenge is to find relevant recommendations, especially when the related articles are not obviously linked together. Design/methodology/approach – This paper focuses on the analysis of user activity traces in journals using the open source software “Open Journal Systems” (OJS). The research question is to what extent end users follow a certain link structure given within OJS or immediately select the articles according to their interests. In the latter case, the recorded data sets are used for creating further recommendations. The analysis is based on an article matrix, displaying the usage frequency of articles and their user selected successive articles within the OJS. Furthermore, the navigation paths are analyzed.
Findings: According to the analysis results, it was found that the users tend to follow a set navigation structure. Moreover, a hybrid recommendation system for OJS is described, which uses content based filtering as the basic system extended by the results of a collaborative filtering approach.
Originality/value: We present two original contributions: The analysis of userpath tracing and a novel algorithm that allows a smooth integration of new articles into the existing recommendations, due to the fact that scientific journals are published in a frequent and regular time sequence.
Keywords: Web Analytics, Scientific literature, Open Journal System, Recommender System, Path analysis, Research-Based Teaching, recommendation algorithm

Reference: Behnam Taraghi, Martin Grossegger, Martin Ebner, Andreas Holzinger, (2013) “Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems”, Online Information Review, Vol. 37 Iss: 5, pp.672 – 691 [Link]

[iPad] Open Journal System

Bevor ich mich in die Weihnachtsfeiertage und eine zweiwöchige Pause verabschiede, freut es mich, dass ich quasi als Weihnachtsgeschenk ankündigen kann, dass die iPad-App für das Open-Journal-System nun verfügbar ist. Im Rahmen einer Projektarbeit ist diese App entstanden und wenn das entsprechende Plugin am System installiert ist, kann man sehr schön sämtliche Artikel am iPad lesen – vorinstalliert haben wir bereits das Lehrbuch L3T, die Zeitschrift Bildungsforschung und die Zeitschrift für Hochschulentwicklung.

With the OJS Application, a user can comfortably access his most favorite OJS journals and navigate to the correspondent articles. To find these easily, abstracts and other information of the articles, like authors, are shown very clearly. The preferred files, like PDFs or images, can then be chosen and they get directly displayed in the App.
The user can also create notes easily at wanted positions in the article and move them via the well known Drag & Drop functionality.
Furthermore, articles which are very interesting, can be stored as favorites.

Link zum App-Store | Weitere Apps der TU Graz

Nun bleibt mir nur noch über, allen Leserinnen und Lesern meines Weblogs eine gesegnetes Weihnachtsfest 2012 zu wünschen und viel Gesundheit im Jahr 2013.

[presentation] Individualization possibilities for Books with “Print On Demand” Technique

The masterthesis of Aldi was about the “Individualization possibilities for Books with “Print On Demand” Technique” and he developed a plugin for Open Journal System which allows the print of the personal book (see here a short movie).
The slides of his masterdefense are now online available:

[iPhone App] iOJS – L3T am iPhone

Die iPhone App iOJS hat ein grafisches Update und weitere kleine Verbesserungen erhalten. Das Ergbnis ist ab sofort im App Store iTunes verfügbar und kann frei heruntergeladen werden. Damit kann man nicht nur L3T am iPhone lesen, sondern auch die Artikel anderen Open Journal Systeme die über das entsprechende Plugin verfügen.

The iOJS app allows the user to store his favorite OJS journals into his iPhone. The user can then browser through all the issues and articles published by the journal, and download the attached files to directly read them on his iPhone.
Furthermore, it is possible to directly send comments on articles to the server, if the user has a valid registration on the OJS server. For this to work, the OJS server has to install the iPhoneGatewayPlugin which is included in the application and doesn’t need any configuration.

Hier kann die App downgeloadet werden [Link] und alle weiteren verfügbaren Apps der TU Graz findet man hier [iTunes Link].

[l3t] Android Applikation für Open Journal Systems

Nach der iPhone App gibt es nun auch für Android eine App mit der man auf das Open Journal System (und damit L3T) zugreifen und damit alle Artikel mobil beziehen bzw. lesen kann.
Philipp Leitner hat dies im Rahmen seiner Bachelorarbeit umgesetzt. Die Arbeit ist ebenso wie die App online und steht allen frei zur Verfügung.