123,123

內(nèi)容簡(jiǎn)介

　　本書(shū)以DeepSeek技術(shù)實(shí)踐為核心，探討算法如何重構(gòu)文化旅游場(chǎng)景，推動(dòng)沉浸式體驗(yàn)與個(gè)性化服務(wù)的革命性升級(jí)?；谏疃葘W(xué)習(xí)、大數(shù)據(jù)分析和實(shí)時(shí)動(dòng)態(tài)建模，DeepSeek構(gòu)建了多模態(tài)交互系統(tǒng)，將物理景區(qū)與虛擬場(chǎng)景無(wú)縫融合。如通過(guò)AR增強(qiáng)現(xiàn)實(shí)還原歷史遺址原貌，或通過(guò)動(dòng)態(tài)路徑規(guī)劃優(yōu)化游客動(dòng)線，解決傳統(tǒng)文旅中擁堵、體驗(yàn)單一等問(wèn)題。本書(shū)還介紹了結(jié)合游客行為數(shù)據(jù)、社交偏好及環(huán)境變量，動(dòng)態(tài)生成千人千面的游覽方案，凸顯了文化傳承的數(shù)字化新生。如以敦煌壁畫(huà)AI修復(fù)項(xiàng)目為例，展示算法對(duì)脆弱文化遺產(chǎn)的動(dòng)態(tài)保護(hù)與互動(dòng)傳播。本書(shū)既為從業(yè)者提供技術(shù)落地方法論，也為普通讀者揭示了人工智能如何賦能旅游發(fā)展。

作者簡(jiǎn)介

　　戴有山，中央文化和旅游管理干部學(xué)院副研究員，中國(guó)旅游協(xié)會(huì)長(zhǎng)城分會(huì)副會(huì)長(zhǎng)，國(guó)家文化公園專家咨詢委員會(huì)委員。主持國(guó)家文化創(chuàng)新工程項(xiàng)目“文化新媒體大數(shù)據(jù)應(yīng)用平臺(tái)”等多項(xiàng)國(guó)家級(jí)課題項(xiàng)目，著有《文化戰(zhàn)爭(zhēng)》《文化之根》《金牌導(dǎo)游是如何煉成的》《文化凝聚中國(guó)：新時(shí)代文化建設(shè)讀本》（合著）、《長(zhǎng)城，穿越千年的守望》等著作。在《光明日?qǐng)?bào)》（理論版）、《中國(guó)社會(huì)科學(xué)學(xué)報(bào)》《紅旗文稿》等報(bào)刊發(fā)表論文百余篇，并有多篇被《新華文摘》轉(zhuǎn)載。編創(chuàng)的音樂(lè)劇《詩(shī)經(jīng)·采薇》入選國(guó)家藝術(shù)基金2019年度資助項(xiàng)目，并在國(guó)內(nèi)及歐洲多個(gè)國(guó)家和地區(qū)巡演100多場(chǎng)。

圖書(shū)目錄

目錄
緒論··························································································· 1
第一節(jié) AI 重構(gòu)文化和旅游發(fā)展的未來(lái) ·········································· 1
第二節(jié) 文旅場(chǎng)景數(shù)字化轉(zhuǎn)型的必然趨勢(shì) ······································12
第三節(jié) DeepSeek 的核心能力與文旅場(chǎng)景適配性 ·····························26
第一篇文旅邏輯與技術(shù)基礎(chǔ)
第一章文旅場(chǎng)景的數(shù)字化痛點(diǎn) ························································39
第一節(jié) 文旅體驗(yàn)的同質(zhì)化困境 ··················································40
第二節(jié) 游客需求的碎片化與即時(shí)性 ············································47
第三節(jié) 文化遺產(chǎn)的活化與傳播挑戰(zhàn) ············································53
第四節(jié) 運(yùn)營(yíng)效率與可持續(xù)性矛盾 ···············································61
第二章 DeepSeek 技術(shù)架構(gòu)解析 ·······················································68
第一節(jié) 多模態(tài) AI 與文旅數(shù)據(jù)融合 ··············································71
第二節(jié) 自然語(yǔ)言處理（NLP）與文化語(yǔ)義理解 ······························73
第三節(jié) 實(shí)時(shí)決策引擎與動(dòng)態(tài)場(chǎng)景響應(yīng) ·········································76
等。。。。。。