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An Approach to Personalizing Web Search Results: Applying latent semantic indexing together with a user model - Softcover
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The excess of information available on the Web has required users to make a greater effort to retrieve information relevant to their interests. Although conventional search engines are capable of returning good quality results in response to most queries, they are still unable to offer these results efficiently. This paper proposes an architecture for a web search personalization system that employs the latent semantic indexing technique, adapted for the web environment, in conjunction with a user model constructed implicitly by tracking user navigation in the documents resulting from the search. On the one hand, the latent semantic indexing technique allows the semantic relationship between websites to be identified, providing a better ordering of results. On the other hand, the user model makes it possible to identify a user's interests in the search and improves the ordering of the results offered according to those interests.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The excess of information available on the Web has required users to make a greater effort to retrieve information relevant to their interests. Although conventional search engines are capable of returning good quality results in response to most queries, they are still unable to offer these results efficiently. This paper proposes an architecture for a web search personalization system that employs the latent semantic indexing technique, adapted for the web environment, in conjunction with a user model constructed implicitly by tracking user navigation in the documents resulting from the search. On the one hand, the latent semantic indexing technique allows the semantic relationship between websites to be identified, providing a better ordering of results. On the other hand, the user model makes it possible to identify a user's interests in the search and improves the ordering of the results offered according to those interests. 88 pp. Englisch. Seller Inventory # 9786209208096
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An Approach to Personalizing Web Search Results : Applying latent semantic indexing together with a user model
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The excess of information available on the Web has required users to make a greater effort to retrieve information relevant to their interests. Although conventional search engines are capable of returning good quality results in response to most queries, they are still unable to offer these results efficiently. This paper proposes an architecture for a web search personalization system that employs the latent semantic indexing technique, adapted for the web environment, in conjunction with a user model constructed implicitly by tracking user navigation in the documents resulting from the search. On the one hand, the latent semantic indexing technique allows the semantic relationship between websites to be identified, providing a better ordering of results. On the other hand, the user model makes it possible to identify a user's interests in the search and improves the ordering of the results offered according to those interests. Seller Inventory # 9786209208096
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Paperback. Condition: new. Paperback. The excess of information available on the Web has required users to make a greater effort to retrieve information relevant to their interests. Although conventional search engines are capable of returning good quality results in response to most queries, they are still unable to offer these results efficiently. This paper proposes an architecture for a web search personalization system that employs the latent semantic indexing technique, adapted for the web environment, in conjunction with a user model constructed implicitly by tracking user navigation in the documents resulting from the search. On the one hand, the latent semantic indexing technique allows the semantic relationship between websites to be identified, providing a better ordering of results. On the other hand, the user model makes it possible to identify a user's interests in the search and improves the ordering of the results offered according to those interests. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209208096
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The excess of information available on the Web has required users to make a greater effort to retrieve information relevant to their interests. Although conventional search engines are capable of returning good quality results in response to most queries, they are still unable to offer these results efficiently. This paper proposes an architecture for a web search personalization system that employs the latent semantic indexing technique, adapted for the web environment, in conjunction with a user model constructed implicitly by tracking user navigation in the documents resulting from the search. On the one hand, the latent semantic indexing technique allows the semantic relationship between websites to be identified, providing a better ordering of results. On the other hand, the user model makes it possible to identify a user's interests in the search and improves the ordering of the results offered according to those interests.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Seller Inventory # 9786209208096
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An Approach to Personalizing Web Search Results | Applying latent semantic indexing together with a user model
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Taschenbuch. Condition: Neu. An Approach to Personalizing Web Search Results | Applying latent semantic indexing together with a user model | Késsia Rita da Costa Marchi | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786209208096 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 134203152