Paper Info
Title
Qsmatching: An Approach To Calculate Similarity Between Questionnaires
Abstract
The creation of questionnaires for use in interviews, statistical surveys or scientific research is not a trivial task. Poorly elaborated worked out questions can lead to answers with meaningless or naive interpretations. Therefore, it may be interesting to reuse, partially or totally, questionnaires already created with the same purpose. In this paper we propose the QSMatching approach to calculate the similarity between questionnaires and consequently to obtain a ranking of questionnaires according to the user's query. In order to verify the effectiveness of the proposed approach, an experiment was carried out comparing QSMatching and the vector model. The result of the analysis of the experiment shows that the QSMatching is more effective than the vector model for questionnaires retrieval.
Year
DOI
Venue
2017
10.1145/3151759.3151823
19TH INTERNATIONAL CONFERENCE ON INFORMATION INTEGRATION AND WEB-BASED APPLICATIONS & SERVICES (IIWAS2017)
Keywords
Field
DocType
Questionnaire, approach, similarity, ranking, vector model
Data mining,Ranking,Information retrieval,Reuse,Computer science,Scientific method
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
Richard H. De Souza140.73
Carina F. Dorneles26110.35