Discovery and Illustration of Novel Optimal Retrieval Result

Relevance judgment plays an extremely significant role in information retrieval. This study investigates the differences between American users and Chinese users in relevance judgment during the information retrieval process. 384 sets of relevance scores with 50 scores in each set were collected from 16 American users and 16 Chinese users as they judged retrieval records from two major search engines based on 24 predefined search tasks from 4 domain categories. Statistical analyses reveal that there are significant differences between American assessors and Chinese assessors in relevance judgments. Significant gender differences also appear within both the American and the Chinese assessor groups. The study also revealed significant interactions among cultures, genders, and subject categories. These findings can enhance the understanding of cultural impact on information retrieval and can assist in the design of effective cross-language information retrieval systems.

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Optimal retrieval strategies for carousel conveyors

Mathematical and Computer Modelling ◽

10.1016/0895-7177(92)90060-x ◽

1992 ◽

Vol 16 (10) ◽

pp. 59-70 ◽

Cited By ~ 15

Author(s):

Jay B. Ghosh ◽

Charles E. Wells

Keyword(s):

Retrieval Strategies ◽

Optimal Retrieval

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Comparison of Two Methods of Solving Electromagnetic Parameters of Metamaterials with the Unit Cell of Symmetrically Arranged SRRs

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.531-532.351 ◽

2012 ◽

Vol 531-532 ◽

pp. 351-357

Author(s):

Wang Zhou Zhang ◽

Zhu Ying Li ◽

Ye Liu

Keyword(s):

Effective Permittivity ◽

Split Ring Resonator ◽

Index Of Refraction ◽

Electromagnetic Parameters ◽

Structured Materials ◽

Left Handed ◽

S Parameter ◽

Circular Structure ◽

Retrieval Result ◽

Specific Frequency

Based on the principle that metamaterials-composite structured materials, in which permittivity(ε)and permeability(μ)are both negative in some frequencice, can be structured with periodically arranged SRRs and thin metallic wires which have negative effective permeability and negative effective permittivity respectively, the circular structure of SRRs was modified and a new split-ring resonator with symmetric structure was proposed. A detailed description of the design and simulation procedure was given simultaneously. According to the pattern of symmetric SRRs, ε and μ were calculated in analytic formula. Furthermore, metamaterials with symmetric SRRs was simulated with the software ANSOFT, and electromagnetic parameters were retried from S parameter. From analytic result and the retrieval result of electromagnetic parameters, left-handed behavior was obvious in a specific frequency range and the permittivity, the permeability and the index of refraction are all negative.

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Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons

Neurocomputing ◽

10.1016/s0925-2312(99)00036-3 ◽

1999 ◽

Vol 26-27 ◽

pp. 573-578 ◽

Cited By ~ 6

Author(s):

Thomas Wennekers ◽

Friedrich T. Sommer

Keyword(s):

Gamma Oscillations ◽

Associative Memories ◽

Optimal Retrieval

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Retrieval Result Presentation and Evaluation

Knowledge Science, Engineering and Management - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15280-1_14 ◽

2010 ◽

pp. 125-136 ◽

Cited By ~ 1

Author(s):

Shengli Wu ◽

Yaxin Bi ◽

Xiaoqin Zeng

Keyword(s):

Retrieval Result

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Image Retrieval Method Based on Vision Feature of Color

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.303-306.1406 ◽

2013 ◽

Vol 303-306 ◽

pp. 1406-1411

Author(s):

Ying Meng Dai ◽

Lin Feng Wei ◽

Cong Luo

Keyword(s):

Spatial Distribution ◽

Image Retrieval ◽

Good Accuracy ◽

Color Histogram ◽

Weighted Sums ◽

Original Image ◽

Retrieval Method ◽

Color Histograms ◽

Retrieval Result ◽

Distinct Color

Color histogram is an important technique for color database retrieving, but it often ignores color’s spatial distribution information. This paper proposes an improved color histogram algorithm based on the HSV space, whose subspaces are non-equally quantized. The algorithm first proceeds annular partition on the original image, and then uses the method presented by Aibing Rao etc. [1] to count each partition. At last, it calculates the weighted sums for the distances between distinct color histograms. Experimental results demonstrate that the algorithm reduces the feature dimensions and keeps a good accuracy as well as the spatial distribution information. Thus, a better retrieval result is obtained.

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