Text REtrieval Conference (TREC)
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Organization Name: Microsoft/City University | Run ID: plt8r1 |
Section 1.0 System Summary and Timing |
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Section 1.1 System Information |
Hardware Model Used for TREC Experiment:16 node PII cluster System Use:SHARED Total Amount of Hard Disk Storage:144 Gb Total Amount of RAM:6,144 MB Clock Rate of CPU:300 MHz |
Section 1.2 System Comparisons |
Amount of developmental "Software Engineering":ALL List of features that are not present in the system, but would have been beneficial to have: List of features that are present in the system, and impacted its performance, but are not detailed within this form:Parallelism was used. |
Section 2.0 Construction of Indices, Knowledge Bases, and Other Data Structures |
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Length of the stopword list:450 words Type of Stemming:LOVINS Controlled Vocabulary:NO Term weighting:YES
Phrase discovery:NO
Type of Spelling Correction:NONE Manually-Indexed Terms:NO Proper Noun Identification:NO Syntactic Parsing:NO Tokenizer:NO Word Sense Disambiguation:NO Other technique:NO Additional comments:A simple SGML/HTML parser was used. |
Section 3.0 Statistics on Data Structures Built from TREC Text |
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Section 3.1 First Data Structure |
Structure Type:INVERTED INDEX Type of other data structure used: Brief description of method using other data structure: Total storage used:0.158 Gb Total computer time to build:0.42 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:YES Concepts (vs. single terms) represented:NO
Type of representation:simple stemmed keyword Auxilary files used:NO
Additional comments:This database was used to extract the terms for training. |
Section 3.2 Second Data Structure |
Structure Type:INVERTED INDEX Type of other data structure used: Brief description of method using other data structure: Total storage used:0.162 Gb Total computer time to build:0.5 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:YES Concepts (vs. single terms) represented:NO
Type of representation:simple stemmed keyword Auxilary files used:NO
Additional comments:The database was used for training purposes. Built on single pentium and replicated on cluster. |
Section 3.3 Third Data Structure |
Structure Type:INVERTED INDEX Type of other data structure used: Brief description of method using other data structure: Total storage used:0.085 Gb Total computer time to build:0.18 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:YES Concepts (vs. single terms) represented:
Type of representation:simple stemmed keyword Auxilary files used:NO
Additional comments:This is the test collection used. |
Section 4.0 Data Built from Sources Other than the Input Text |
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File type:NONE Domain type:DOMAIN INDEPENDENT Total Storage:Gb Number of Concepts Represented:concepts Type of representation:NONE Automatic or Manual:
Type of Manual Labor used:NONE Additional comments: |
File is:NONE Total Storage:Gb Number of Concepts Represented:concepts Type of representation:NONE Additional comments: |
Section 5.0 Computer Searching |
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Average computer time to search (per query): 105 CPU seconds |
Times broken down by component(s): |
Section 5.1 Searching Methods |
Vector space model:NO Probabilistic model:YES Cluster searching:NO N-gram matching:NO Boolean matching:NO Fuzzy logic:NO Free text scanning:NO Neural networks:NO Conceptual graphic matching:NO Other:NO Additional comments:The timings are the average query optimisation times. |
Section 5.2 Factors in Ranking |
Term frequency:YES Inverse document frequency:YES Other term weights:NO Semantic closeness:NO Position in document:NO Syntactic clues:NO Proximity of terms:NO Information theoretic weights:NO Document length:YES Percentage of query terms which match:NO N-gram frequency:NO Word specificity:NO Word sense frequency:NO Cluster distance:NO Other:NO Additional comments: |
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