Explicit diversification of search results across multiple dimensions for educational search

2020-09-01
Yigit-Sert, Sevgi
Altıngövde, İsmail Sengör
Macdonald, Craig
Ounis, Iadh
ULUSOY, ÖZGÜR
Making use of search systems to foster learning is an emerging research trend known assearch as learning. Earlier works identified result diversification as a useful technique to support learning-oriented search, since diversification ensures a comprehensive coverage of various aspects of the queried topic in the result list. Inspired by this finding, first we define a new research problem, multidimensional result diversification, in the context of educational search. We argue that in a search engine for the education domain, it is necessary to diversify results across multiple dimensions, that is, not only for the topical aspects covered by the retrieved documents, but also for other dimensions, such as the type of the document (e.g., text, video, etc.) or its intellectual level (say, for beginners/experts). Second, we propose a framework that extends the probabilistic and supervised diversification methods to take into account the coverage of such multiple dimensions. We demonstrate its effectiveness upon a newly developed test collection based on a real-life educational search engine. Thorough experiments based on gathered relevance annotations reveal that the proposed framework outperforms the baseline by up to 2.4%. An alternative evaluation utilizing user clicks also yields improvements of up to 2% w.r.t. various metrics.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY

Suggestions

Exploring the relationship between web presence and web usability for universities A case study from Turkey
Peker, Serhat; Kucukozer-Cavdar, Seyma; Çağıltay, Kürşat (Emerald, 2016-01-01)
Purpose - The purpose of this paper is to statistically explore the relationship between web usability and web presence of the universities. As a case study, five Turkish universities in different rankings which were selected from Webometrics rankings were evaluated and compared.
Multi-dimensional evaluation of e-learning systems in the higher education context: empirical investigations
Köseler, Refika; Özkan Yıldırım, Sevgi; Department of Information Systems (2009)
There has been little research on assessment of learning management systems (LMS) within educational organizations as both a web-based learning system for e-learning and as a supportive tool for blended learning environments. This study proposes a conceptual e-learning assessment model, HELAM (Hexagonal e-Learning Assessment Model) suggesting a multi-dimensional approach for LMS evaluation via six dimensions: (1) system quality, (2) service quality, (3) information (content) quality, (4) learner perspective...
Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data
Erdogdu, Utku; TAN, MEHMET; Alhajj, Reda; Polat, Faruk; Rokne, Jon; Demetrick, Douglas (Inderscience Publishers, 2013-01-01)
The availability of enough samples for effective analysis and knowledge discovery has been a challenge in the research community, especially in the area of gene expression data analysis. Thus, the approaches being developed for data analysis have mostly suffered from the lack of enough data to train and test the constructed models. We argue that the process of sample generation could be successfully automated by employing some sophisticated machine learning techniques. An automated sample generation framewo...
Success factors of software development in a distributed setting : a collective case study
Bulğurcu, Burcu; Bilgen, Semih; Department of Information Systems (2006)
This study represents an attempt to address and discuss some of the most significant questions in the research on virtual software development work today. The research is held as a collective case study, including three cases with distinctive characteristics in both the software projects investigated and the types of collaborations. The study aims to reveal the success factors in virtual work, especially on the issues of communication, coordination and collaboration, by presenting the unfavorable experience...
Effective feature reduction for link prediction in location-based social networks
Bayrak, Ahmet Engin; Polat, Faruk (SAGE Publications, 2019-10-01)
In this study, we investigated feature-based approaches for improving the link prediction performance for location-based social networks (LBSNs) and analysed their performances. We developed new features based on time, common friend detail and place category information of check-in data in order to make use of information in the data which cannot be utilised by the existing features from the literature. We proposed a feature selection method to determine a feature subset that enhances the prediction perform...
Citation Formats
S. Yigit-Sert, İ. S. Altıngövde, C. Macdonald, I. Ounis, and Ö. ULUSOY, “Explicit diversification of search results across multiple dimensions for educational search,” JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46783.