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高生產力與獲利的關鍵下一步 ─ 企業搜尋

高生產力與獲利的關鍵下一步 ─ 企業搜尋. 陳永霖 , Evan Mobile: 0910389691 evanchen@microsoft.com Enterprise Search Group Microsoft Taiwan. Corporate Overview. FAST 位於新一代搜尋技術與資訊革命的中心 , 我們的創新將繼續推進市場的轉變 , 改變企業營運的方法與策 . 2001 年於挪威的 Olso Stock Exchange 上市 堅若磐石的企業穩定度 創始於 1997, 50% CAGR 穩定獲利 , 無負債 急速成長

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高生產力與獲利的關鍵下一步 ─ 企業搜尋

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  1. 高生產力與獲利的關鍵下一步 ─ 企業搜尋 陳永霖, Evan Mobile: 0910389691 evanchen@microsoft.com Enterprise Search Group Microsoft Taiwan

  2. Corporate Overview FAST 位於新一代搜尋技術與資訊革命的中心,我們的創新將繼續推進市場的轉變, 改變企業營運的方法與策. 2001 年於挪威的 Olso Stock Exchange 上市 堅若磐石的企業穩定度創始於 1997, 50% CAGR 穩定獲利, 無負債 急速成長 #1 收益成長 超過 3,600 分安裝 700 位員工, 150 個合作夥伴 超越期待的滿意度 99% 客戶滿意度 Tromsø Stockholm Oslo Helsinki Copenhagen Toronto London Chicago Amsterdam Boston Paris Munich Salt Lake City Frankfurt Milan Seoul New York San Francisco Rome Shanghai Tokyo Washington DC Dubai Taipei Dallas Atlanta Madrid Hong Kong Mexico City Singapore Rio de Janeiro Sao Paulo Sydney Melbourne FAST is one of the fastest growing software companies in the world

  3. FAST – Past, Present & Future Foundation: scalable search! alltheweb.com – largest Web search index FAST ESP launched Re-focus on enterprise search Gartner Magic Quadrant leader Search-driven business value A Microsoft Subsidiary Next Generation Search Platform The User Revolution!

  4. “Excellent Choice” “Magic Quadrant: The Leader” 業界認可, Gartner 評比 Gartner MQ for Information Access Technology and 2004

  5. Enterprise Solutions – Increase Collaboration and Productivities

  6. FAST ESP Customers within the Enterprise 65-75% of FAST customer implementations involve structured data …and many new wins: Boehringer CPSC NASA Metro Arrow Electronics

  7. Monetization Vision • MONETIZATION: drive REVENUE by creating unique user experiences that match customers to relevant assets Ads Transactions Promotions

  8. MERC Customers

  9. FAST ESP5 WWW (HTML, XML, WML, JavaScript) Portals (e.g. WebSphere, WebLogic) Private Webs (e.g. news feeds, Intranets) Legacy Data (e.g. ISAM, VSAM, IMS) Applications (e.g. ERM, CRM, Help Desk) RDBMS (JDBC, ODBC, SQLNet, DW, DM) Files (e.g. Word, Excel, pdf, images, mp3) Direct Push DMS (e.g. M’Soft CMS, Documentum, FileNet) eMail Systems (e.g. Notes, Exchange) Single point of access for all enterprise information Common Platform, Shared Data CRM/Call Center Assist Advertising promotion Cross Selling Service Desk Search SITE SEARCH MAIL SEARCH Data Cleansing DMS SEARCH CORPORATE SEARCH … ESP5 Message Queues (e.g. TIBCO, MQ-Series) REAL--TIME STRUCTURED UNSTRUCTURED

  10. SEARCH FAST ESP Architecture STRUCTURED DATA QUERY PROCESSING CONTENT CAPTURE ANDREFINEMENT UNSTRUCTURED DATA RESULT PROCESSING RICH MEDIA SEARCH MANAGEMENT

  11. Engage Your User with Visual Search _ Navigation Numerous visual navigation options for more intuitive search Results can be scanned rapidly with document previews and thumbnails Exact Navigator Counts Identify content without downloading and opening applications Federated Results Disparate result setsare unified with robust federation offeringmore control Document Thumbnails

  12. Enrich Content to Better Match to User Intent Aggregates 20Mlistings across 80,000 websites and structured data stores Automated entity extraction, tagging,and classificationdrive navigation Entity extraction in results Anti-spam and scoring algorithms used to cleanse listings Entities used in navigation and filtering Reports on search results

  13. Linguistics語言學 The Query Pipeline Query: Looking for anABC laptop under $20,000? Looking for an Spell- checking Anti-phrasing Tokenizer Normalization Phrasing Under $20,000? price < $20,000 Desktop replacement Portable PC YES! X = ABC Laptop Tablets Notebook Lemmas Synonyms PLUG-IN NLQ Thesaurus BUY( X ) Use “Local Electronic Store” collection Rank profile = “eCommerce” Modified query AdaptiveEvaluation Geography

  14. ESP Web Parts Edit Web Parts Here Search Box Search Statistics Navigator Result List

  15. Support .NET platform and others…

  16. Customer – Cisco.com Preparing for the next Mission

  17. Three Customer Search Services _ Role Based Query Disambiguation Three search services to meet the specific information needs of customers. Default queries Product queries Support queries All Results View Products Results Support Results Advanced Search Form Content and navigation blocks Featured Content Navigators

  18. Samsung.com FAQ검색을 위한자연어 검색시스템 제안 FAST ESP

  19. II. 자연어 검색 시스템 구축 방안 1. 현황 Samsung.com의 FAQ 검색은 자연어 검색 제공 및 Rule엔진을 이용한 검색으로 적합도가 높은 검색결과를 제공하지만 아래와 같은 부분에 개선이 요구된다. • 제품 카테고리를 우선 설정해야 하는 등 검색 단계가 길어짐 • 제품 모델명을 설정하여도 검색 결과에 반영되지 않음 • 일반 검색엔진을 이용한 검색 결과의 재현율 및 정확율이 낮음 모델명 선택 검색어 입력 및 실행 Rule 엔진에 의한 검색 결과 일반 검색엔진에 의한 검색 결과

  20. II. 자연어 검색 시스템 구축 방안 3. 개선방안 3.1 시스템 구성 개요 Multi-language support FAST Search FAQ Databases Samsung.com Users Data Processing Collections (Index) Search Profile Korean FAQ Query logs 5 6 7 English FAQ 1 Search View For Korea Korean FAQ Connector Chinese FAQ 2 Japanese FAQ Search View For USA English FAQ 언어처리 … FAQ 3 개체명인식 Search View For China Chinese FAQ Business Assets 제품모델명 4 카테고리적용 Search View For Japan Japanese FAQ 카테고리정보 색인 Search View For … … FAQ Linguistic Assets Talkro (Rule Engine) Query Processing 8 9 10 FAQ RULE Rank Tuner Anti-Phrase Synonym Synonym

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