文化大學機構典藏 CCUR:Item 987654321/27922
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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/27922


    Title: 即時旅遊建議系統分析與設計-基於情境感知
    System Analysis and Implementation of A Real-Time Travel Recommendation System-Based on context-aware
    Authors: 張書飄
    Chang, Shu-piau
    Contributors: 資訊傳播學系
    Keywords: 情境感知
    適地性服務
    推薦系統
    即時旅遊
    Context Awareness
    Locationn-Based Service
    Recommender System
    Date: 2014-06
    Issue Date: 2014-09-04
    Abstract: 休閒旅遊觀念提升及國人所得增加,國人對戶外休閒旅遊的需求日益增加,從事旅遊活動能加強身心發展和拓展視野,更能獲得情緒上的滿足。在過去,旅遊規劃是不容易的,因此我們會尋求旅行社協助,或在網路上決定好欲前往的景點後,將景點串接,整理獲得一張旅遊行程表,但在這張規劃表裡,我們無法得知各景點的現況,常常發生到達景點後,人、事、時、地、物等元素不符合,使心情受到影響甚至導致旅遊中斷。儘管有地圖協助,仍舊無法排除各景點主觀的情形(如塞車、人潮),因此若能透過行動裝置輔助,結合當下情境去建議目前該前往哪個景點,勢必能提高旅遊滿意度,擁有更好的旅遊體驗。
    本研究將旅遊模式分成三種類型,在旅遊前先蒐集相關資料,稱為計畫型旅遊;突然的情緒變化、同行伴侶建議、時間等其他外在因素,臨時改變景點,稱為即時型旅遊;無特殊目的、隨興漫遊,稱為隨機型旅遊。其中,本研究選擇即時型旅遊進行改善,製作一套屬於每個人的旅遊建議系統,將情緒目的、旅遊伴侶、旅遊時間歸納為使用者端變項,由使用者提供;將目前時間、目前地點為行動裝置變項,由行動裝置抓取,將以上變項整理後,結合景點資料庫計算分數比重,並且由系統整理推薦出目前最適合使用者的景點列表,提供使用者選擇。此外,使用者能透過行動裝置對系統進行反饋,讓系統學習,逐步調整景點配分權重,讓系統更親近使用者。
    本研究整理目前研究背景,並且提出問題和解決方法,同時分析影響使用者選擇各類景點主題比重,並根據景點主題比重的結果開發出APP,最後將使用者使用APP後的心得整理,並發表結論。

    Concept of leisure and trip raise and wage increase makes demand for people to trip income increase.Trip activity can enhance physical and mental development .
    In the past, trip planning is not easy. So we will seek assistance for travel, or make schedule with internet.But in this schedule , we can't know the status of the various attractions, often occurs after arrival attractionsThe elements that is not match with you lets mood is affected even lead to travel interruption.This study will be divided into three types of travel : plan trip, instant trip and random trip.
    The study selected instant trip immediate improvement, and development a travel recommendation system on mobile device.User provided the emotional purpose, travel companion, travel time to device. The device will print the list that you will chose.Finally,user can perform on the system feedback, allowing the system to learn.Let the system closer user.
    This study is currently finishing the background, presents problems and solutions, finally, analyze the impact of various types of users to choose topics of interest specific gravity, finally the users experience after finishing APP and published in conclusion.
    Appears in Collections:[Department of Information Communications & Graduate Institute of Information Communications ] thesis

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