{"title":"Personal approach for mobile search: A review","authors":"Amol D. Gaikwad, Ctech Deptt","doi":"10.1109/ICPRIME.2013.6496476","DOIUrl":null,"url":null,"abstract":"Web service is a popular standard to publish services for users. However, diversified users need to access web service according to their particular preferences. Mobile search is quite different from standard PC-based web search in a number of ways: (a) the user interfaces and I/O are limited by screen real state, (b) key pads are tiny and inconvenient for use, (c) limited bandwidth and (d) costly connection fees. This review paper focuses on the personalization strategies which explicitly and implicitly infer user search context at individual user level. The paper also focuses on an architecture which collects user information (at mobile device and carrier network) and derives user intention in given situations.","PeriodicalId":123210,"journal":{"name":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPRIME.2013.6496476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Web service is a popular standard to publish services for users. However, diversified users need to access web service according to their particular preferences. Mobile search is quite different from standard PC-based web search in a number of ways: (a) the user interfaces and I/O are limited by screen real state, (b) key pads are tiny and inconvenient for use, (c) limited bandwidth and (d) costly connection fees. This review paper focuses on the personalization strategies which explicitly and implicitly infer user search context at individual user level. The paper also focuses on an architecture which collects user information (at mobile device and carrier network) and derives user intention in given situations.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
