TítuloUsing score distributions to compare statistical significance tests for information retrieval evaluation

We identify the combinations of recommenders that meet the con- ditions stated in the previous section for the dynamic combination problem to make sense and select the

For Keyword Spotting on the Spanish Albayzin database, we have shown that the approach based on the phone-decoding and the confusion matrix outperforms the rest of the

In (Cremonesi et al., 2010), the authors acknowledged the fact that recommending popular items is trivial; hence, to successfully assess the accuracy of the

More specifically, they had to assign a readability score for 3 different pairs of test cases: (1) interactive vs interactive, two tests whose readability differed significantly for

Those variables whose categories showed statistical significance to be included in the second regression were: university, having a partner, attended antenatal classes,

This implies a positive answer for RQ1, since it is possible to make an equivalence between a rating-based item-based CF system and an IR system by means of identifying the terms

The LR’s in the case of the KDF are produced from the Same Source (SS) and Different Source (DS) score distributions (examples are shown in the Figure 1)

In information retrieval, a user expresses certain information needs through a query, which normally consists of a collection of keywords, and wants to retrieve, from a generally