A Basic Study of User Utility Maximizing Content Retrieval from Information Networks
Summary This paper proposes some basic methods of content search yielding high user utility or user's satisfaction from numerous information sources scattered over large‐scale networks. In these methods, the search policy is decided by the estimated user utility gain and/or current user utility...
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Published in | Electrical engineering in Japan Vol. 185; no. 3; pp. 33 - 40 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Hoboken
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01.11.2013
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Abstract | Summary
This paper proposes some basic methods of content search yielding high user utility or user's satisfaction from numerous information sources scattered over large‐scale networks. In these methods, the search policy is decided by the estimated user utility gain and/or current user utility for each search action, and the most favorable combination of information sources and search content items is selected so as to enlarge the total user utility of the entire search activity. In addition, we evaluate the efficiency of the methods by computer simulations, in which we specify the network topology, user utility functions, probabilities of existence of the search content items in each information source, and so on, apply the proposed methods and other methods for comparison, and compare their aggregate utility gains as an estimation index. The proposed methods are found to achieve good performance in general and an index value about 2.45 times that of ordinary search is observed in an extreme simulation scenario. We discuss the pros and cons of the proposed methods for all the simulation scenarios. |
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AbstractList | Summary
This paper proposes some basic methods of content search yielding high user utility or user's satisfaction from numerous information sources scattered over large‐scale networks. In these methods, the search policy is decided by the estimated user utility gain and/or current user utility for each search action, and the most favorable combination of information sources and search content items is selected so as to enlarge the total user utility of the entire search activity. In addition, we evaluate the efficiency of the methods by computer simulations, in which we specify the network topology, user utility functions, probabilities of existence of the search content items in each information source, and so on, apply the proposed methods and other methods for comparison, and compare their aggregate utility gains as an estimation index. The proposed methods are found to achieve good performance in general and an index value about 2.45 times that of ordinary search is observed in an extreme simulation scenario. We discuss the pros and cons of the proposed methods for all the simulation scenarios. Summary This paper proposes some basic methods of content search yielding high user utility or user's satisfaction from numerous information sources scattered over large-scale networks. In these methods, the search policy is decided by the estimated user utility gain and/or current user utility for each search action, and the most favorable combination of information sources and search content items is selected so as to enlarge the total user utility of the entire search activity. In addition, we evaluate the efficiency of the methods by computer simulations, in which we specify the network topology, user utility functions, probabilities of existence of the search content items in each information source, and so on, apply the proposed methods and other methods for comparison, and compare their aggregate utility gains as an estimation index. The proposed methods are found to achieve good performance in general and an index value about 2.45 times that of ordinary search is observed in an extreme simulation scenario. We discuss the pros and cons of the proposed methods for all the simulation scenarios. |
Author | Sugawara, Shinji Ohnishi, Hiroyuki |
Author_xml | – sequence: 1 givenname: Shinji surname: Sugawara fullname: Sugawara, Shinji organization: Nagoya Institute of Technology, Japan – sequence: 2 givenname: Hiroyuki surname: Ohnishi fullname: Ohnishi, Hiroyuki organization: Nagoya Institute of Technology, Japan |
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References | Kajita T et al. Optimal delivery interval and call admission control for multicast contents delivery based on users' utility. Trans IEICE 2005;J88-B:2042-2051. (in Japanese) Sugawara S et al. A study on efficient searching for image information in large-scale network. Trans IEICE 1998;J81-B-I:484-493. (in Japanese) Nomura K, Yamori Y, Takahashi E, Miyoshi T, Tanaka Y. Waiting time versus utility to download images. Proc 2001 Asia Pacific Symposium on Information and Telecommunications (APSITT2001), p 128-132. Watanabe A et al. Comparison of network services with user utilities. Trans IEICE 2001;J84-B:514-522. (in Japanese) Yamori K, Tanaka Y. Maximizing users' utility for data transfer with priority control. Trans IEICE 2003;J86-B:2041-2052. (in Japanese) Sakai Y et al. A study on information searching method based on entropy. Trans IEICE 1995;J78-A:894-896. (in Japanese) Sugawara S, Yamaoka K, Sakai Y. A study on image searching method in super distributed database. Conf Rec IEEE GLOBECOM '97, p 736-740. Sugawara S et al. Image searching system in super distributed environment. Trans IIEEJ 1997;26:388-396. (in Japanese) Sugawara S et al. A study on effect of truncation for information searching in super distributed environment. Tech Rep IEICE 1998;IN98-103, CQ98-45:1-6. (in Japanese) Fukuda K et al. Resource allocation scheme for real-time video transfer with utility maximization. Tech Rep IEICE 1999;SEE99-15:19-24. (in Japanese) Yonemaru T et al. A study of an information retrieval system on a network controlled by energy and division probability. Tech Rep IEICE 2004;IN2004-38:13-18. (in Japanese) Watanabe A et al. Which provides better utility for users, best-effort service or reservation-based service? Trans IEICE 2000;J83-B:789-799. (in Japanese) 1998 1998; J81‐B‐I 1995; J78‐A 1999; SEE99‐15 2003; J86‐B 2004; IN2004‐38 2005; J88‐B 1997; 26 2000; J83‐B 97 2001; J84‐B Sugawara S (e_1_2_7_5_1) 1998 Nomura K (e_1_2_7_10_1) Watanabe A (e_1_2_7_8_1) 2000; 83 Sugawara S (e_1_2_7_4_1); 97 Watanabe A (e_1_2_7_9_1) 2001; 84 Sugawara S (e_1_2_7_3_1) 1997; 26 Yonemaru T (e_1_2_7_6_1) 2004; 2004 Sugawara S (e_1_2_7_13_1) 1998; 81 Kajita T (e_1_2_7_12_1) 2005; 88 Sakai Y (e_1_2_7_2_1) 1995; 78 Yamori K (e_1_2_7_11_1) 2003; 86 Fukuda K (e_1_2_7_7_1) 1999; 99 |
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This paper proposes some basic methods of content search yielding high user utility or user's satisfaction from numerous information sources scattered... Summary This paper proposes some basic methods of content search yielding high user utility or user's satisfaction from numerous information sources scattered... |
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SubjectTerms | Computer simulation content retrieval distributed environment Gain information network Information sources Networks Performance indices Policies Searching user utility Utilities |
Title | A Basic Study of User Utility Maximizing Content Retrieval from Information Networks |
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