{"title":"高效和有效的解决方案的搜索引擎","authors":"Xiangfei Jia","doi":"10.1145/2009916.2010179","DOIUrl":null,"url":null,"abstract":"IR efficiency is normally addressed in terms of accumulator initialisation, disk I/O, decompression, ranking and sorting. In this paper, The bottlenecks of search engines are investigated and several solutions for efficiency optimisation are proposed. Particularly, the proposed heapk pruning algorithm is very efficient and effective. The future directions of this research work are also discussed.","PeriodicalId":356580,"journal":{"name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient and effective solutions for search engines\",\"authors\":\"Xiangfei Jia\",\"doi\":\"10.1145/2009916.2010179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"IR efficiency is normally addressed in terms of accumulator initialisation, disk I/O, decompression, ranking and sorting. In this paper, The bottlenecks of search engines are investigated and several solutions for efficiency optimisation are proposed. Particularly, the proposed heapk pruning algorithm is very efficient and effective. The future directions of this research work are also discussed.\",\"PeriodicalId\":356580,\"journal\":{\"name\":\"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2009916.2010179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2009916.2010179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient and effective solutions for search engines
IR efficiency is normally addressed in terms of accumulator initialisation, disk I/O, decompression, ranking and sorting. In this paper, The bottlenecks of search engines are investigated and several solutions for efficiency optimisation are proposed. Particularly, the proposed heapk pruning algorithm is very efficient and effective. The future directions of this research work are also discussed.