Download Information Retrieval Technology: 7th Asia Information by Hsuan-Yu Lin, Chi-Hsin Yu, Hsin-Hsi Chen (auth.), Mohamed PDF

By Hsuan-Yu Lin, Chi-Hsin Yu, Hsin-Hsi Chen (auth.), Mohamed Vall Mohamed Salem, Khaled Shaalan, Farhad Oroumchian, Azadeh Shakery, Halim Khelalfa (eds.)

This e-book constitutes the refereed complaints of the seventh Asia details Retrieval Societies convention AIRS 2011, held in Dubai, United Arab Emirates, in December 2011.
The 31 revised complete papers and 25 revised poster papers offered have been rigorously reviewed and chosen from 132 submissions. All present points of data retrieval - in thought and perform - are addressed; the papers are equipped in topical sections on info retrieval types and theories; info retrieval purposes and multimedia details retrieval; consumer examine, details retrieval assessment and interactive info retrieval; net details retrieval, scalability and antagonistic details retrieval; computer studying for info retrieval; common language processing for info retrieval; arabic script textual content processing and retrieval.

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Additional resources for Information Retrieval Technology: 7th Asia Information Retrieval Societies Conference, AIRS 2011, Dubai, United Arab Emirates, December 18-20, 2011. Proceedings

Sample text

The expanded query model, which is then used for the second-round retrieval. In the RM [5], the document prior p(θd ) is often assumed to be uniform. e. SqQL (d) in Eq. 5) by the QL model plays an important role in the RM, since theoretically it distinguishes RM from a mixture of document language models (say d∈D p(w|θd )). The Relevance Model was initially derived for the PRF task, where the document set D is set as the top n retrieval documents in the first-round retrieval. It can also be used in the RF task [1], by selecting all the truly relevant documents (based on the relevance data available for the standard benchmarking collections) in top n documents as the document set D in Eq.

Table 4 shows the average Spearman and Pearson correlation of the four mixture models averaged across the five systems6 . Firstly, it is worth noting that the correlation coefficients for some of the mixtures are quite high, indicating that much of the information regarding average precision (relevance) are correctly modeled by some of the mixtures. e. the predominant model over the last decade) is the lowest performing model of the four that we have studied. The normal-normal model outperforms the exponential-normal model in terms of utility despite having a worse fit (see Table 3).

Firstly, under on the strong SD hypothesis [2], the distribution of both relevant and non-relevant documents should be able to approach Dirac’s delta function (these distributions are valid under that hypothesis). And secondly, there is no theoretically valid reason why relevant and non-relevant documents should be drawn from two different families of distributions, given that the document score of relevant and non-relevant documents is generated using the same process (ranking function) within an IR system.

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