مشاهده مشخصات مقاله
Quantitative Similarity-based Evaluation of Text Retrieval Algorithms
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نویسنده (ها) |
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Parastoo Didari
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Behrad Babai
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Azadeh Shakery
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Text retrieval engines, such as search engines,
always return a list of documents in response to a given
query. Existing evaluations of text retrieval algorithms
mostly use Precision and Recall of the returned list of
documents as main quality measures of a search engine. In
this paper, we propose a novel approach for comparing
different algorithms adopted by different search engines
and evaluate their performance. In our approach, the
results of each algorithm is treated as an inter-related set of
documents and the effectiveness of the algorithm is
evaluated based on the degree of relation in the set of
documents. After verifying the correctness of the evaluation
measure by examining the results of the two retrieval
algorithms, BM25 and pivoted normalization, and
comparing these results with an ideal ranking, we compare
the results of these algorithms and investigate the impact of
certain major factors like stemming on the results of the
suggested algorithm. The effectiveness of our proposed
method is justified through obtained experimental results. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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