Web search engines are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. For example, a Programmer and Geologist may use the same word “python” to search for different information, but the current search systems would return the same results. That is how it is essential to model a user profile that is useful to re-rank result based on user’s current interest.The proposed framework presents a novel approaches to personalize web search through modeling user profile and reformulate user’s query by analyzing his/her previous search history, click, long term interest as well as short term interest.
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Web search engines are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. For example, a Programmer and Geologist may use the same word “python” to search for different information, but the current search systems would return the same results. That is how it is essential to model a user profile that is useful to re-rank result based on user’s current interest.The proposed framework presents a novel approaches to personalize web search through modeling user profile and reformulate user’s query by analyzing his/her previous search history, click, long term interest as well as short term interest.
Kamlesh Makvana is working as asst.professor at Department of Information Technology, Charusat university change, India. He completed his B.E., in Computer Engineering at GEC Rajkot in 2010 and M.Tech (Information Technology) at Charusat University Changa in 2014.His areas of interest include Semantic web, web mining, and information retrieval.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Web search engines are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. For example, a Programmer and Geologist may use the same word 'python' to search for different information, but the current search systems would return the same results. That is how it is essential to model a user profile that is useful to re-rank result based on user's current interest.The proposed framework presents a novel approaches to personalize web search through modeling user profile and reformulate user's query by analyzing his/her previous search history, click, long term interest as well as short term interest. 92 pp. Englisch. N° de réf. du vendeur 9783659618420
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Makvana KamleshKamlesh Makvana is working as asst.professor at Department of Information Technology, Charusat university change, India. He completed his B.E., in Computer Engineering at GEC Rajkot in 2010 and M.Tech (Information Te. N° de réf. du vendeur 5168749
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Web search engines are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. For example, a Programmer and Geologist may use the same word 'python' to search for different information, but the current search systems would return the same results. That is how it is essential to model a user profile that is useful to re-rank result based on user's current interest.The proposed framework presents a novel approaches to personalize web search through modeling user profile and reformulate user's query by analyzing his/her previous search history, click, long term interest as well as short term interest.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9783659618420
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Web search engines are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. For example, a Programmer and Geologist may use the same word 'python' to search for different information, but the current search systems would return the same results. That is how it is essential to model a user profile that is useful to re-rank result based on user's current interest.The proposed framework presents a novel approaches to personalize web search through modeling user profile and reformulate user's query by analyzing his/her previous search history, click, long term interest as well as short term interest. N° de réf. du vendeur 9783659618420
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Personalized Web Search 3.0 | Kamlesh Makvana (u. a.) | Taschenbuch | 92 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659618420 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105042902
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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