Matches in SemOpenAlex for { <https://semopenalex.org/work/W63172045> ?p ?o ?g. }
- W63172045 endingPage "153" @default.
- W63172045 startingPage "113" @default.
- W63172045 abstract "The most popular way for finding information on the Web is go to a search engine, submit a query that describes an information need and receive a list of results that relate to the information sought. As more and more topics are being discussed over the Web and our vocabulary remains relatively stable, it is increasingly difficult for Web users to select queries that express their varying information needs in a distinguishable by the engine manner. Query refinement is the process of providing information seekers with alternative wordings for expressing their search intentions. Although refined queries may contribute to the improvement of retrieval results, nevertheless their realization is intrinsically limited in that they consider nothing about the preferences of the user issuing that query. One way to go about selecting suitable query alternatives is to account for the user interests in the query refinement process. This task involves two great challenges. First we need to be able to effectively identify the user preferences and build a profile for every user. Second, once such a profile is available, we need to identify among a set of candidate query alternatives those that match the user interests. In this article, we present our work towards a personalized query refinement technique and we discuss how we address both of these challenges. Since Web users are reluctant to provide explicit information on their personal preferences, for the first challenge we attempt to determine them based on the analysis of the users' click history. In particular, we leverage a topical ontology for estimating the user's topic preferences based on her past searches. For the second challenge, we have developed a query refinement mechanism that uses the learnt user preferences in order to disambiguate the user's current query and thereafter identify alternative query wordings that match both the initial query semantics and the user preferences. Our experiments show that user preferences can be learnt accurately through the use of the topical ontology and refined queries based on the user preferences yield significant improvements in the search quality over existing query improvement techniques." @default.
- W63172045 created "2016-06-24" @default.
- W63172045 creator A5007676689 @default.
- W63172045 creator A5025754108 @default.
- W63172045 creator A5036581756 @default.
- W63172045 creator A5073453980 @default.
- W63172045 date "2009-06-01" @default.
- W63172045 modified "2023-09-26" @default.
- W63172045 title "Ontology-driven personalized query refinement" @default.
- W63172045 cites W136660 @default.
- W63172045 cites W1484864540 @default.
- W63172045 cites W1502275721 @default.
- W63172045 cites W1524327504 @default.
- W63172045 cites W1556965494 @default.
- W63172045 cites W156562181 @default.
- W63172045 cites W1567747680 @default.
- W63172045 cites W1587718046 @default.
- W63172045 cites W1809222622 @default.
- W63172045 cites W1971904707 @default.
- W63172045 cites W1979459060 @default.
- W63172045 cites W1982451429 @default.
- W63172045 cites W1985844568 @default.
- W63172045 cites W1997841190 @default.
- W63172045 cites W2005422315 @default.
- W63172045 cites W2022979781 @default.
- W63172045 cites W2037320173 @default.
- W63172045 cites W2039499764 @default.
- W63172045 cites W2057577760 @default.
- W63172045 cites W2061503185 @default.
- W63172045 cites W2066395238 @default.
- W63172045 cites W2067018993 @default.
- W63172045 cites W2069153192 @default.
- W63172045 cites W2071165012 @default.
- W63172045 cites W2080676333 @default.
- W63172045 cites W2093521110 @default.
- W63172045 cites W2095976990 @default.
- W63172045 cites W2099391294 @default.
- W63172045 cites W2100935296 @default.
- W63172045 cites W2111363262 @default.
- W63172045 cites W2115205574 @default.
- W63172045 cites W2117277484 @default.
- W63172045 cites W2120270710 @default.
- W63172045 cites W2122841972 @default.
- W63172045 cites W2127203709 @default.
- W63172045 cites W2136480620 @default.
- W63172045 cites W2137057085 @default.
- W63172045 cites W2152314154 @default.
- W63172045 cites W2152565070 @default.
- W63172045 cites W2154724067 @default.
- W63172045 cites W2156594279 @default.
- W63172045 cites W2162129814 @default.
- W63172045 cites W2165476871 @default.
- W63172045 cites W2166843810 @default.
- W63172045 cites W2170344111 @default.
- W63172045 cites W2171161922 @default.
- W63172045 cites W2396424756 @default.
- W63172045 cites W2423784265 @default.
- W63172045 hasPublicationYear "2009" @default.
- W63172045 type Work @default.
- W63172045 sameAs 63172045 @default.
- W63172045 citedByCount "0" @default.
- W63172045 crossrefType "journal-article" @default.
- W63172045 hasAuthorship W63172045A5007676689 @default.
- W63172045 hasAuthorship W63172045A5025754108 @default.
- W63172045 hasAuthorship W63172045A5036581756 @default.
- W63172045 hasAuthorship W63172045A5073453980 @default.
- W63172045 hasConcept C111472728 @default.
- W63172045 hasConcept C118689300 @default.
- W63172045 hasConcept C119857082 @default.
- W63172045 hasConcept C136764020 @default.
- W63172045 hasConcept C138885662 @default.
- W63172045 hasConcept C153083717 @default.
- W63172045 hasConcept C157692150 @default.
- W63172045 hasConcept C164120249 @default.
- W63172045 hasConcept C192028432 @default.
- W63172045 hasConcept C23123220 @default.
- W63172045 hasConcept C25810664 @default.
- W63172045 hasConcept C2776945383 @default.
- W63172045 hasConcept C41008148 @default.
- W63172045 hasConcept C78999398 @default.
- W63172045 hasConcept C97854310 @default.
- W63172045 hasConcept C99016210 @default.
- W63172045 hasConceptScore W63172045C111472728 @default.
- W63172045 hasConceptScore W63172045C118689300 @default.
- W63172045 hasConceptScore W63172045C119857082 @default.
- W63172045 hasConceptScore W63172045C136764020 @default.
- W63172045 hasConceptScore W63172045C138885662 @default.
- W63172045 hasConceptScore W63172045C153083717 @default.
- W63172045 hasConceptScore W63172045C157692150 @default.
- W63172045 hasConceptScore W63172045C164120249 @default.
- W63172045 hasConceptScore W63172045C192028432 @default.
- W63172045 hasConceptScore W63172045C23123220 @default.
- W63172045 hasConceptScore W63172045C25810664 @default.
- W63172045 hasConceptScore W63172045C2776945383 @default.
- W63172045 hasConceptScore W63172045C41008148 @default.
- W63172045 hasConceptScore W63172045C78999398 @default.
- W63172045 hasConceptScore W63172045C97854310 @default.
- W63172045 hasConceptScore W63172045C99016210 @default.