English  |  正體中文  |  简体中文  |  Items with full text/Total items : 73032/73032 (100%)
Visitors : 23028998      Online Users : 438
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71922

    Title: 商家與圖片配對研究;Finding representative images for POIs
    Authors: 凌杰甫;Fu,Lin Jei
    Contributors: 軟體工程研究所
    Keywords: 爬蟲;圖片與POI配對;crawler;POI and image pairing;Image Retrieval
    Date: 2016-08-25
    Issue Date: 2016-10-13 14:06:29 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 近年來,地理位置服務(location-based services) 的使用人口伴隨著行動化裝置的普及而快速成長。使用者只要輕鬆地輸入關鍵字,即可透過行動裝置隨時隨地獲取周遭的資訊,進而快速地安排行程。但隨著各家的服務如雨後春筍般地不斷推出,要如何能吸引使用者的目光成了一個重要的課題。
    ;In recent years, consumer-focused location-based services have been growing exponentially. People can get the nearby information or plan a trip easily by using these applications. However, there is tough competition between these similar applications. Hence how to attract users become a big challenge.
    People usually choose the service which provides the latest and the most correct information. In order to achieve this goal, we need to constantly update the database. In this paper, our goal is to build a system which can renew POI data automatically. We want to update the information of POIs such as telephones, business hours and images. Among all of these data, images are consider as the most important type since they can attract users’ eyes.
    In this study, we have designed an approach to find the correct images for POIs in several steps. First, we use a search engine to collect a POI’s information and extract its features. The Second part is to collect the images from the web pages. With the popularity of the internet, there are lots of resources like social media or blogs. For each image, we collect the related information such as title or Alt and the near-by texts. Finally, we match the POI’s feature with image’s information to find the best image.
    Appears in Collections:[軟體工程研究所 ] 博碩士論文

    Files in This Item:

    File Description SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明