Fusion of Retrieval Models at CLEF 2008 Ad-Hoc Persian Track
نویسندگان
چکیده
Metasearch engines submit the user query to several underlying search engines and then merge their retrieved results to generate a single list that is more effective to the users’ information needs. According to the idea behind metasearch engines, it seems that merging the results retrieved from different retrieval models will improve the search coverage and precision. In this study, we have investigated the effect of fusion of different retrieval techniques on the performance of Persian retrieval. We use an extension of Ordered Weighted Average (OWA) operator called IOWA and a weighting schema, NOWA for merging the results. Our experimental results show that merging by OWA operators produces better precision.
منابع مشابه
German, French, English and Persian Retrieval Experiments at CLEF 2008
We describe evaluation experiments conducted by submitting retrieval runs for the monolingual German, French, English and Persian (Farsi) information retrieval tasks of the Ad-Hoc Track of the Cross-Language Evaluation Forum (CLEF) 2008. In the ad hoc retrieval tasks, the system was given 50 natural language queries, and the goal was to find all of the relevant records or documents (with high p...
متن کاملCLEF 2008: Ad Hoc Track Overview
We describe the objectives and organization of the CLEF 2008 ad hoc track and discuss the main characteristics of the tasks offered to test monolingual and cross-language textual document retrieval systems. The track was changed considerably this year with the introduction of new document collections consisting of library catalog records derived from The European Library, with a non-European ta...
متن کاملJHU Experiments in Monolingual Farsi Document Retrieval at CLEF 2009
At CLEF 2009 JHU submitted runs in the ad hoc track for the monolingual Persian evaluation. Variants of character n-gram tokenization provided a 10% relative gain over unnormalized words. A run based on skip n-grams, which allow internal skipped letters, achieved a mean average precision of 0.4938. Using traditional 5-grams resulted in a score of 0.4868 while plain words had a score of 0.4463.
متن کاملCross Language Experiments at Persian@CLEF 2008
In this study we will discuss our cross language text retrieval (CLIR) experiments with the Persian language at the ad hoc track at CLEF2008. Two teams from University of Tehran were involved in cross language text retrieval part of the track using two different CLIR approaches that are query translation and document translation. For query translation we used a method named Combinatorial Transl...
متن کاملGerman, French, English and Persian Retrieval Experiments at CLEF 2009
We describe evaluation experiments conducted by submitting retrieval runs for the monolingual German, French, English and Persian (Farsi) information retrieval tasks of the Ad Hoc Track of the Cross-Language Evaluation Forum (CLEF) 2009. In the ad hoc retrieval tasks, the system was given 50 natural language queries, and the goal was to find all of the relevant records or documents (with high p...
متن کامل