A Technique of Data Fusion for Effective Text Retrieval

A Novel Class-Based Data Fusion Technique for Information Retrieval

Data fusion in information retrieval combines the results from multiple retrieval models or document representations. The achievement of data fusion technique is dependent on the quality of the inputs; classical data fusion techniques fail to improve the retrieval if the quality of the retrieval results varies from low to high quality. In order to tackle this problem, in this paper we address t...

Data Fusion for Effective European Monolingual Information Retrieval

For our fourth participation in the CLEF evaluation campaigns, our first objective was to propose an effective and general stopword list and a light stemming procedure for the Portuguese language. Our second objective was to obtain a better picture of the relative merit of various search engines when processing documents in the Finnish and Russian languages. Finally, based on the Z-score method...

Independence of Contributing Retrieval Strategies in Data Fusion for Effective Information Retrieval

In information retrieval, data fusion is a technique for combining the outputs of more than one retrieval strategy which rank documents for retrieval. One of the observations often made about data fusion in IR is that the fusion together of document rankings from different implementations can yield a level of effectiveness which is better than either of the individual input strategies. This phe...

A New Segmentation Technique for Omnifont Farsi Text

A New Segmentation Technique for Omnifont Farsi Text