| measure(ment),8-1-E99-1034,ak | This paper explores the issue of using different <term> co-occurrence similarities </term> between <term> terms </term> for separating <term> query terms </term> that are useful for <term> retrieval </term> from those that are harmful . | #30413 This paper explores the issue of using differentco-occurrence similarities between terms for separating query terms that are useful for retrieval from those that are harmful. | |
| other,6-3-E99-1034,ak | Preliminary experiments with <term> similarities </term> computed using <term> first-order and second-order co-occurrence </term> seem to confirm the hypothesis . | #30460 Preliminary experiments with similarities computed usingfirst-order and second-order co-occurrence seem to confirm the hypothesis. | |
| other,14-1-E99-1034,ak | This paper explores the issue of using different <term> co-occurrence similarities </term> between <term> terms </term> for separating <term> query terms </term> that are useful for <term> retrieval </term> from those that are harmful . | #30419 This paper explores the issue of using different co-occurrence similarities between terms for separatingquery terms that are useful for retrieval from those that are harmful. | |
| other,19-2-E99-1034,ak | The hypothesis under examination is that useful terms tend to be more similar to each other than to other <term> query terms </term> . | #30451 The hypothesis under examination is that useful terms tend to be more similar to each other than to otherquery terms. | |
| other,9-4-E99-1034,ak | <term> Term similarities </term> could then be used for determining which <term> query terms </term> are useful and best reflect the <term> user 's information need </term> . | #30479 Term similarities could then be used for determining whichquery terms are useful and best reflect the user's information need. | |
| other,17-5-E99-1034,ak | A possible application would be to use this source of evidence for tuning the <term> weights </term> of the <term> query terms </term> . | #30509 A possible application would be to use this source of evidence for tuning the weights of thequery terms. | |
| tech,20-1-E99-1034,ak | This paper explores the issue of using different <term> co-occurrence similarities </term> between <term> terms </term> for separating <term> query terms </term> that are useful for <term> retrieval </term> from those that are harmful . | #30425 This paper explores the issue of using different co-occurrence similarities between terms for separating query terms that are useful forretrieval from those that are harmful. | |
| measure(ment),3-3-E99-1034,ak | Preliminary experiments with <term> similarities </term> computed using <term> first-order and second-order co-occurrence </term> seem to confirm the hypothesis . | #30457 Preliminary experiments withsimilarities computed using first-order and second-order co-occurrence seem to confirm the hypothesis. | |
| measure(ment),0-4-E99-1034,ak | Preliminary experiments with <term> similarities </term> computed using <term> first-order and second-order co-occurrence </term> seem to confirm the hypothesis . <term> Term similarities </term> could then be used for determining which <term> query terms </term> are useful and best reflect the <term> user 's information need </term> . | #30470 Preliminary experiments with similarities computed using first-order and second-order co-occurrence seem to confirm the hypothesis.Term similarities could then be used for determining which query terms are useful and best reflect the user's information need. | |
| other,11-1-E99-1034,ak | This paper explores the issue of using different <term> co-occurrence similarities </term> between <term> terms </term> for separating <term> query terms </term> that are useful for <term> retrieval </term> from those that are harmful . | #30416 This paper explores the issue of using different co-occurrence similarities betweenterms for separating query terms that are useful for retrieval from those that are harmful. | |
| other,17-4-E99-1034,ak | <term> Term similarities </term> could then be used for determining which <term> query terms </term> are useful and best reflect the <term> user 's information need </term> . | #30487 Term similarities could then be used for determining which query terms are useful and best reflect theuser 's information need. | |
| measure(ment),14-5-E99-1034,ak | A possible application would be to use this source of evidence for tuning the <term> weights </term> of the <term> query terms </term> . | #30506 A possible application would be to use this source of evidence for tuning theweights of the query terms. |
