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ON THE REUSE OF PAST SEARCHES IN INFORMATION RETRIEVAL: STUDY OF TWO PROBABILISTIC ALGORITHMS

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dc.creatorCLAUDIO ORLANDO GUTIÉRREZ SOTO
dc.date2015
dc.date.accessioned2025-01-10T14:46:20Z
dc.date.available2025-01-10T14:46:20Z
dc.date.issued2015
dc.description.abstractWHEN USING INFORMATION RETRIEVAL SYSTEMS, INFORMATION RELATED TO SEARCHES IS TYPICALLY STORED IN FILES, WHICH ARE WELL KNOWN AS LOG FILES. BY CONTRAST, PAST SEARCH RESULTS OF PREVIOUSLY SUBMITTED QUERIES ARE IGNORED MOST OF THE TIME. NEVERTHELESS, PAST SEARCH RESULTS CAN BE PROFITABLE FOR NEW SEARCHES. SOME APPROACHES IN INFORMATION RETRIEVAL EXPLOIT THE PREVIOUS SEARCHES IN A CUSTOMIZABLE WAY FOR A SINGLE USER. ON THE CONTRARY, APPROACHES THAT DEAL WITH PAST SEARCHES COLLECTIVELY ARE LESS COMMON. THIS PAPER DEALS WITH SUCH AN APPROACH, BY USING PAST RESULTS OF SIMILAR PAST QUERIES SUBMITTED BY OTHER USERS, TO BUILD THE ANSWERS FOR NEW SUBMITTED QUERIES. IT PROPOSES TWO MONTE CARLO ALGORITHMS TO BUILD THE RESULT FOR A NEW QUERY BY SELECTING RELEVANT DOCUMENTS ASSOCIATED TO THE MOST SIMILAR PAST QUERY. EXPERIMENTS WERE CARRIED OUT TO EVALUATE THE EFFECTIVENESS OF THE PROPOSED ALGORITHMS USING SEVERAL DATASET VARIANTS. THESE ALGORITHMS WERE ALSO COMPARED WITH THE BASELINE APPROACH BASED ON THE COSINE MEASURE, FROM WHICH THEY REUSE PAST RESULTS. SIMULATED DATASETS WERE DESIGNED FOR THE EXPERIMENTS, FOLLOWING THE CRANFIELD PARADIGM, WELL ESTABLISHED IN THE INFORMATION RETRIEVAL DOMAIN. THE EMPIRICAL RESULTS SHOW THE INTEREST OF OUR APPROACH.
dc.formatapplication/pdf
dc.identifier.doi10.4018/IJISMD.2015040103
dc.identifier.issn1947-8194
dc.identifier.issn1947-8186
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/8897
dc.languagespa
dc.publisherINTERNATIONAL JOURNAL OF INFORMATION SYSTEM MODELING AND DESIGN
dc.relation.uri10.4018/IJISMD.2015040103
dc.rightsPUBLICADA
dc.titleON THE REUSE OF PAST SEARCHES IN INFORMATION RETRIEVAL: STUDY OF TWO PROBABILISTIC ALGORITHMS
dc.title.alternativeSOBRE LA REUTILIZACIÓN DE BÚSQUEDAS PASADAS EN LA RECUPERACIÓN DE INFORMACIÓN: ESTUDIO DE DOS ALGORITMOS PROBABILÍSTICOS
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.SedeCONCEPCIÓN
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