Titlebook: Web Page Recommendation Models; ?ule Gündüz-?güdücü Book 2011 Springer Nature Switzerland AG 2011

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書目名稱Web Page Recommendation Models影響因子(影響力)




書目名稱Web Page Recommendation Models影響因子(影響力)學科排名




書目名稱Web Page Recommendation Models網絡公開度




書目名稱Web Page Recommendation Models網絡公開度學科排名




書目名稱Web Page Recommendation Models被引頻次




書目名稱Web Page Recommendation Models被引頻次學科排名




書目名稱Web Page Recommendation Models年度引用




書目名稱Web Page Recommendation Models年度引用學科排名




書目名稱Web Page Recommendation Models讀者反饋




書目名稱Web Page Recommendation Models讀者反饋學科排名

Chagrin

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Pattern Extraction,ering, (4) sequential patterns, (5) combination of Web page recommender systems, and (6) semantic Web. All the techniques are described in terms of their applicability for usage pattern extraction in a Web page recommender system rather than their general usage in a data mining application.

毛細血管

Evaluation Metrics, training and test sets. Alternatively, the data set can be partitioned into training and test sets according to time periods. The model is built using the training set whereas the accuracy results are given on test set.

光亮

Evaluation Metrics, training and test sets. Alternatively, the data set can be partitioned into training and test sets according to time periods. The model is built using the training set whereas the accuracy results are given on test set.

MAG

Preprocessing for Web Page Recommender Models,uced. Web page recommender systems accept user models and a set of potential Web pages that can be recommended as input, and they generate a subset of these pages as output (Figure 2.1). Thus, recommender systems can be characterized by how they model users: explicitly or implicitly. In explicit use

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Pattern Extraction,gorithms based on the data mining techniques they use for user modeling. In most of the methods, techniques are combined together for discovering usage patterns. Some of the works are proposed only for user modeling, and the discovered patterns are not used for recommendation. However, the discovere

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