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高高高高高高高高高高高 高 ─ 高高高高 高高高 , Evan Mobile: 0910389691 [email protected] Enterprise Search Group Microsoft Taiwan

高生產力與獲利的關鍵下一步 ─ 企業搜尋

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高生產力與獲利的關鍵下一步 ─ 企業搜尋. 陳永霖 , Evan Mobile: 0910389691 [email protected] 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 - PowerPoint PPT Presentation

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Page 1: 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 , EvanMobile: [email protected] Search GroupMicrosoft Taiwan

Page 2: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

2

Corporate Overview

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

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 .

Oslo

Boston Munich

San Francisco

Chicago

Rome

London

Washington DC

Rio de Janeiro

New York

Tromsø

TokyoSalt Lake City

Sydney

Singapore

Stockholm

Dubai

AmsterdamToronto

Melbourne

Sao Paulo

CopenhagenParis

Milan Seoul

Helsinki

Dallas

Mexico City

FAST is one of the fastest growing software companies in the world

Hong Kong

Frankfurt

MadridAtlanta TaipeiShanghai

Page 3: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

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!

Page 4: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

4

業界認可 , Gartner 評比Gartner MQ for Information Access Technology

“Excellent Choice”

“Industrial Strength”“Industrial Strength”

“Magic Quadrant: The Leader”

and 2004

Page 5: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Enterprise Solutions – Increase Collaboration and Productivities

Page 6: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

FAST ESP Customers within the Enterprise

…and many new wins:Boehringer

CPSCNASAMetro

Arrow Electronics

65-75% of FAST customer implementations involve structured data

Page 7: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Monetization Vision

MONETIZATION: drive REVENUE by creating unique user experiences that match customers to relevant assets

Ads Transactions Promotions

Page 9: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Single point of access for all enterprise information

RDBMS(JDBC, ODBC,

SQLNet, DW, DM)Applications

(e.g. ERM, CRM,Help Desk)

Legacy Data(e.g. ISAM, VSAM, IMS)

Message Queues(e.g. TIBCO, MQ-Series)

DMS(e.g. M’Soft

CMS, Documentum,

FileNet)

eMail Systems(e.g. Notes,Exchange)

Files(e.g. Word, Excel,pdf, images, mp3)

Portals(e.g. WebSphere,

WebLogic)

WWW(HTML, XML, WML,

JavaScript)

Private Webs(e.g. news feeds,

Intranets)

Direct Push

UNSTRUCTUREDSTRUCTURED REAL--TIME

FAST ESP5

SITE SEAR

CH

MA

IL SEAR

CH

Data C

leansing

DM

S SEAR

CH

CO

RPO

RATE SEA

RC

H

Cross Selling

Common Platform, Shared Data

ESP5

Advertising prom

otion

CR

M/C

all Center A

ssist

Service Desk Search

Page 10: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

11

FAST ESP Architecture

COLLECTIONS CONNECTORS REFINEMENT SEARCH & ALERT ENGINES PROCESSING SEARCH PROFILE USER

SEARCH MANAGEMENT

CONTENT CAPTURE ANDREFINEMENT

QUERY PROCESSING

RESULT PROCESSING

SEARCH

STR

UC

TUR

EDD

ATA

RIC

H M

EDIA

UN

STR

UC

TUR

EDD

ATA

Page 11: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Document Thumbnails

Federated Results

Exact Navigator

Counts

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

Identify content without downloading and opening applications

Disparate result setsare unified with robust federation

offeringmore control

Page 12: 高生產力與獲利的關鍵下一步 ─ 企業搜尋
Page 13: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Anti-spam and scoring algorithms used to cleanse listings

Automated entity extraction, tagging,and classificationdrive navigation

Aggregates 20Mlistings across 80,000 websites and

structured data stores

Enrich Content to Better Match to User Intent

Reports on search results

Entity extraction in results

Entities used in navigation and filtering

Page 14: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Linguistics語言學 The Query Pipeline

Tokenizer Phrasing

Query:

Looking for anABC laptop

under $20,000?

Spell-checking

Anti-phrasing

Normalization

NLQLemmas

Synonyms Thesaurus PLUG-IN BUY( X )

AdaptiveEvaluation

GeographyModified query

TabletsNotebook

Desktop replacementPortable PC

Looking for an

Under $20,000?

price < $20,000YES!

X = ABC Laptop

Use “Local Electronic Store” collectionRank profile = “eCommerce”

Page 15: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

ESP Web Parts

Search Box

Navigator

Search Statistics

Result List

Edit Web Parts Here

Page 16: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Support .NET platform and others…

17

Page 17: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Customer – Cisco.com

Preparing for the next Mission

Page 18: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Products Results

All Results View

Support Results

Featured Content Navigators

AdvancedSearch Form

Query Disambiguation

Content and navigation blocks

Product queries Support queriesDefault queries

Three search services to meet the specific information needs of

customers.

Three Customer Search Services _ Role Based

Page 19: 高生產力與獲利的關鍵下一步 ─ 企業搜尋
Page 20: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

Samsung.com FAQ 검색을 위한자연어 검색시스템 제안FAST ESP

Page 21: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

II. 자연어 검색 시스템 구축 방안 1. 현황

모델명 선택

검색어 입력 및 실행

Rule 엔진에 의한 검색 결과

일반 검색 엔진에 의한 검색 결과

Samsung.com 의 FAQ 검색은 자연어 검색 제공 및 Rule 엔진을 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

Page 22: 高生產力與獲利的關鍵下一步 ─ 企業搜尋

QueryProcessing

Collections(Index)

Data Processing

Search Profile

II. 자연어 검색 시스템 구축 방안 3. 개선방안 3.1 시스템 구성 개요

ConnectorSearch View

For Korea

Search ViewFor USA

Search ViewFor China

Search ViewFor Japan

Search ViewFor …

Korean FAQ

English FAQ

Chinese FAQ

Japanese FAQ

… FAQ

Talkro(Rule Engine)

Korean FAQ

English FAQ

Chinese FAQ

Japanese FAQ

… FAQ

언어처리

개체명인식

색인

제품모델명

FAQ RULE

카테고리적용

카테고리정보

Rank Tuner SynonymAnti-Phrase

Synonym

Samsung.com UsersFAQ Databases

Linguistic Assets

Business Assets

Query logs

FAST Search

5

1

6 7

8 9

3

4

2

10

Multi-language support