Search (2 results, page 1 of 1)

  • × author_ss:"Carterette, B."
  • × year_i:[2000 TO 2010}
  1. Carterette, B.: Test collections (2009) 0.00
    0.0030255679 = product of:
      0.0060511357 = sum of:
        0.0060511357 = product of:
          0.012102271 = sum of:
            0.012102271 = weight(_text_:a in 3891) [ClassicSimilarity], result of:
              0.012102271 = score(doc=3891,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.22789092 = fieldWeight in 3891, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0625 = fieldNorm(doc=3891)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Research and development of search engines and other information retrieval (IR) systems proceeds by a cycle of design, implementation, and experimentation, with the results of each experiment influencing design decisions in the next iteration of the cycle. Batch experiments on test collections help ensure that this process goes as smoothly and as quickly as possible. A test collection comprises a collection of documents, a set of information needs, and judgments of the relevance of documents to those needs.
    Type
    a
  2. Carterette, B.; Can, F.: Comparing inverted files and signature files for searching a large lexicon (2005) 0.00
    0.0028703054 = product of:
      0.005740611 = sum of:
        0.005740611 = product of:
          0.011481222 = sum of:
            0.011481222 = weight(_text_:a in 1029) [ClassicSimilarity], result of:
              0.011481222 = score(doc=1029,freq=16.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.2161963 = fieldWeight in 1029, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1029)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Signature files and inverted files are well-known index structures. In this paper we undertake a direct comparison of the two for searching for partially-specified queries in a large lexicon stored in main memory. Using n-grams to index lexicon terms, a bit-sliced signature file can be compressed to a smaller size than an inverted file if each n-gram sets only one bit in the term signature. With a signature width less than half the number of unique n-grams in the lexicon, the signature file method is about as fast as the inverted file method, and significantly smaller. Greater flexibility in memory usage and faster index generation time make signature files appropriate for searching large lexicons or other collections in an environment where memory is at a premium.
    Type
    a