Text REtrieval Conference (TREC)
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Organization Name: University of Neuchatel (Switzerland) | Run ID: UniNEW2Link |
Section 1.0 System Summary and Timing |
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Section 1.1 System Information |
Hardware Model Used for TREC Experiment:Pentium III System Use:SHARED Total Amount of Hard Disk Storage:54 Gb Total Amount of RAM:256 MB Clock Rate of CPU:450 MHz |
Section 1.2 System Comparisons |
Amount of developmental "Software Engineering":SOME List of features that are not present in the system, but would have been beneficial to have:Effective searching (to reduce searching time) List of features that are present in the system, and impacted its performance, but are not detailed within this form: |
Section 2.0 Construction of Indices, Knowledge Bases, and Other Data Structures |
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Length of the stopword list:571 words Type of Stemming:SMART 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: |
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:0.4 Gb Total computer time to build:1:02 hours Automatic process:YES Manual hours required:hours Type of manual labor:NONE Term positions used: Only single terms used: Concepts (vs. single terms) represented:
Type of representation: Auxilary files used:
Additional comments: |
Section 3.2 Second Data Structure |
Structure Type: Type of other data structure used: Brief description of method using other data structure: Total storage used:Gb Total computer time to build:hours Automatic process: Manual hours required:hours Type of manual labor:NONE Term positions used: Only single terms used: Concepts (vs. single terms) represented:
Type of representation: Auxilary files used:
Additional comments: |
Section 3.3 Third Data Structure |
Structure Type: Type of other data structure used: Brief description of method using other data structure: Total storage used:Gb Total computer time to build:hours Automatic process: Manual hours required:hours Type of manual labor:NONE Term positions used: Only single terms used: Concepts (vs. single terms) represented:
Type of representation: Auxilary files used:
Additional comments: |
Section 4.0 Data Built from Sources Other than the Input Text |
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File type:OTHER Domain type:DOMAIN INDEPENDENT Total Storage:0.036 Gb Number of Concepts Represented:concepts Type of representation:NONE Automatic or Manual:AUTOMATIC
Type of Manual Labor used:NONE Additional comments:Hyperlink files (ilink_WTonly & olink_WTonly) provided by David Hawking |
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): 1.02 CPU seconds |
Times broken down by component(s): 0.02 in SMART and 1 sec for reranking |
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: |
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: Other:YES Additional comments:incoming & outgoing hyperlinks from the best five 50 ranked Web pages |
Disclaimer: Contents of this online document are not necessarily the official views of, nor endorsed by the U.S. Government, the Department of Commerce, or NIST. |