Text REtrieval Conference (TREC)
|
Organization Name: University of Iowa | Run ID: uiowaweb1 |
Section 1.0 System Summary and Timing |
---|
Section 1.1 System Information |
Hardware Model Used for TREC Experiment:Apple G3 PowerMac System Use:SHARED Total Amount of Hard Disk Storage:6 Gb Total Amount of RAM:384 MB Clock Rate of CPU:266 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: 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 |
---|
Length of the stopword list:100 words Type of Stemming:PORTER Controlled Vocabulary:NO Term weighting:YES
Phrase discovery:YES
Type of Spelling Correction:NONE Manually-Indexed Terms:NO Proper Noun Identification:NO Syntactic Parsing:YES Tokenizer:YES Word Sense Disambiguation:NO Other technique:YES Additional comments:Lexical analysis specific to HTML with secondary phrase recognition. |
Section 3.0 Statistics on Data Structures Built from TREC Text |
---|
Section 3.1 First Data Structure |
Structure Type:CLUSTER Type of other data structure used: Brief description of method using other data structure: Total storage used:1 Gb Total computer time to build:100 hours Automatic process: Manual hours required:hours Type of manual labor:NONE Term positions used:NO Only single terms used:NO Concepts (vs. single terms) represented:NO
Type of representation: Auxilary files used:YES
Additional comments: |
Section 3.2 Second Data Structure |
Structure Type:NONE 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 |
---|
File type:THESAURUS Domain type:DOMAIN INDEPENDENT Total Storage:2 Gb Number of Concepts Represented:~240,000 concepts Type of representation:OTHER Automatic or Manual:AUTOMATIC
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 |
---|
Average computer time to search (per query): 1 CPU seconds |
Times broken down by component(s): |
Section 5.1 Searching Methods |
Vector space model:YES Probabilistic model:NO Cluster searching:YES N-gram matching:NO Boolean matching:NO Fuzzy logic:NO Free text scanning:YES 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:YES Semantic closeness:NO Position in document:NO Syntactic clues:NO Proximity of terms:NO Information theoretic weights:NO Document length:NO Percentage of query terms which match:NO N-gram frequency:NO Word specificity:NO Word sense frequency:NO Cluster distance:YES Other:NO Additional comments: |
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. |