By C. J. ‘Keith’ van Rijsbergen (auth.), David E. Losada, Juan M. Fernández-Luna (eds.)

Welcome to Santiago de Compostela! we're happy to host the twenty seventh Annual EuropeanConferenceonInformationRetrievalResearch(ECIR2005)onits?rst stopover at to Spain. those lawsuits include the refereed complete papers and poster abstracts p- sented at ECIR 2005. This convention used to be at the start tested through the Infor- tion Retrieval professional staff of the British machine Society (BCS-IRSG) less than the identify “Annual Colloquium on details Retrieval examine. ” The colloquium used to be held within the uk every year until eventually 1998, while the development was once geared up in Grenoble, France. in view that then the convention venue has alternated among the uk and Continental Europe, re?ecting the transforming into ecu orientation of ECIR. for a similar cause, in 2001 the development was once renamed “European convention on details Retrieval examine. ” In - cent years, ECIR has persisted to develop and has turn into the most important eu discussion board for the dialogue of analysis within the ?eld of data retrieval. ECIR 2005 used to be held on the Technical institution of Engineering of the college of Santiago de Compostela, Spain. by way of submissions, ECIR 2005 was once a record-breaking luck, because 124 complete papers have been submitted in line with the decision for papers. This used to be a pointy raise from the a hundred and one submissions bought for ECIR 2003, which was once the main profitable ECIR when it comes to submissions. ECIR 2005 tested additionally a choice for posters, and forty-one posters the place submitted. Paper and poster submissions have been got from throughout Europe and extra a?eld, together with North the US, South the USA, Asia and Australia, that's a transparent indicationofthegrowingpopularityandreputationoftheconference.

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33. Amanda Spink, Bernard J. Jansen, Dietmar Wolfram, and Tefko Saracevic. From E-Sex to E-Commerce: Web Search Changes. IEEE Computer 35(3): 107-109, 2002. 34. Amanda Spink, Seda Ozmutlu, Huseyin C. Ozmutlu, and Bernard J. Jansen. S. Versus European Web Searching Trends. SIGIR Forum 26(2), 2002. 35. Todocl - Todo Chile en Internet. cl/, 2002. 36. J. Wen, J. Mie, and H. Zhang. Clustering user queries of a search engine. In Proc. at 10th International World Wide Web Conference. W3C, 2001. 37. Dietmar Wolfram.

166 index transfers per node on average. This result assures us that index transfer happens infrequently and its effect to the whole system is minimal. Fig. 9. # Index transfers vs. # queries Fig. 10. Hit rate 34 Y. Shao and R. 2 Hit Rate Now we look at how effective a buddy list is. In our simulation, we count how many queries are satisfied by either checking the buddy indexes kept locally at the originating node or directly asking its buddies. Figure 10 presents the hit rate curve for the 20,000 simulated queries.

2. User interaction distribution Figure 1 shows the activity distribution of the peers. Y-axis shows the number of downloads for each user. On X axis, users are ordered in decreasing order of the number of downloads they initiate. Logarithmic scale is used on Y-axis. The activity levels for different users are widely varied. With few users issuing as many as 10,000 requests, about 90% of the users issuing less than 10 requests. Who 26 Y. Shao and R. Wang answers these queries? Does a user get data from a large group of random users or does it always get data from a small group of focused users?

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