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Table 3: Homepages: Average Performance Ratios
"... In PAGE 11: ...then asked them to evaluate the results, and also to (blindly) rate the six algorithms with an (integer) grade between 0 (unaccept- able) and 4 (excellent). Table3 presents the average relevance and high relevance ratios, as well as, the average grade for each algo- rithm. A number of surprising facts emerge from this table.... ..."
Table 3: Homepages: Average Performance Ratios
"... In PAGE 11: ...then asked them to evaluate the results, and also to (blindly) rate the six algorithms with an (integer) grade between 0 (unaccept- able) and 4 (excellent). Table3 presents the average relevance and high relevance ratios, as well as, the average grade for each algo- rithm. A number of surprising facts emerge from this table.... ..."
Table 2. Example Transition Rates Calculation in the Model (Departure from Homepage) Departure State (i) Homepage (1)
"... In PAGE 9: ...01 5.2 Model Construction under Existing Information Architecture Then we calculated each transition rate in the model by using equation (5); for instance, the transition rate departing from the homepage is shown in Table2 . We then constructed browsing performance model using software Relex 7.... ..."
Table 3. Example Transition Rates Calculation in Scenario I (Departure from Homepage) Departure State (i) Homepage (1)
"... In PAGE 10: ... For example, if we exchange State 2 with State 3, the average think times for State 2 and State3, respectively, are 13 12 apos; ATT ATT = (9) 12 13 apos; ATT ATT = (10) Through the recalculation of total browsing time, probability and departure rate on each path, the revised transition rates of Scenario I were obtained, as shown in Table 3. It can be seen from Table3 that the average think times of State 2 and State 3 of 18.53 sec and 20.... ..."
Table 1: TREC queries used in the evaluation of the three search engines, with URLs of relevant homepages. Query (q) Homepage (rq)
Table 2: Description of homepage finding runs and their official results.
2002
"... In PAGE 3: ... Five runs were for the topic distillation task, and four for the homepage finding task. Homepage finding Our homepage finding runs are summarized in Table2 and Figure 1. Indexing all components of the documents appears to be better than only indexing parts of each document.... ..."
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Table 2: Description of homepage finding runs and their official results.
2002
"... In PAGE 3: ... Five runs were for the topic distillation task, and four for the homepage finding task. Homepage finding Our homepage finding runs are summarized in Table2 and Figure 1. Indexing all components of the documents appears to be better than only indexing parts of each document.... ..."
Cited by 3
Table 1: Features used to classify homepage and con- tent queries
"... In PAGE 4: ... We enumerate charac- teristic features of homepage and non-homepage queries and use these features to train the classifier. The features are summarized in Table1 . The features only depend on the URL, snippet, and title fields.... ..."
Table 1: Features used to classify homepage and content queries
"... In PAGE 4: ...Table 1: Features used to classify homepage and content queries summarized in Table1 . The features only depend on the URL, snippet, and title fields.... ..."
Table 1: Intermediate results for the proxy.org homepage
"... In PAGE 16: ... In addition, an non-exhaustive list of IgnoreList terms has been created and contains the following words in no particular order: the, a , an ,this ,by , on ,you , ,your , I, she, is, he, we, they, there, be, not, that, this, these, their, in, at, upon, therefore, hence, to, of, for, or, no, is, it, as, his, her, from, its, yours, what, which, about, are, can, while, where. Table1 shows the intermediate results that were found when running the context identification algorithm based on the source code of the homepage for proxy.org.... ..."
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