ｽﾗｲﾄﾞﾀｲﾄﾙなし

情報探索／発見
Information Search/Finding/Discovery
長尾真監修，大学生と「情報の活用」－
情報探索入門，京都大学図書館情報
学研究会発行，１９９９．
•研究紹介：
SASS他：キーワード推薦
1
検索 vs. 探索
Retrieval vs. Search

Retrieval
get back; regain. By The American Heritageｮ Dictionary

Search
look over carefully in order to find
something
= Finding
2
Search Engine

Searching on Internet/Network
Is search engine enough for our purposes?
–
–
–
–
Full text search
Just a beginning for information search/finding
Needs solution-oriented supporting facilities
Difficulties in finding appropriate keywords
→SASS
3
SASS(Searching Assistant with
Social Selection)
– Keyword Recommendation
– Choosing keywords that were used by the
searchers
– Also useful for searcher’s behavior analysis
4
Matchmaking Problem
Arrangement so that the information user and
the information provider meet each other.
→Search Engine: content-oriented
Requirement
？
Providing
Info. User
Info. Provider
5
Information Gathering
Intention Formation：
Deciding interests
Information Collection：
Collecting relating information
Were is my
information?
I got what’s
important！
Clarifying
the problem
Interests
Information
Collection
Intention
Formation
Searching
useful
information
This is it!
What should I do?
What’s important?
Problem
Referencing
Information
Choosing the
information
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Problems:
① in Information Collection：
Where is the information(documents) I am looking for?
← Supported well: for example by search engines
② in Intention Formation：
Difficulty in expressing/clarifying the user’s own
intention/need
②
Idea
Info. User
①
Collection
Info. Provider
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Collaborative Support for Idea Creation
Referring and using other user’s ideas in your idea creation
Clarifying
Interests
Clarifying
Interests
Collaboration
Information
Collection
Information
Collection
Sharing each other’s idea creation
9
Supporting Idea Making with
Keyword Recommendation
Search
Key
KW Recom.
Idea Creation
User
Search Engine
Info. Collection
Documents
10
●Keyword Recommendation so far:
Recommending Keywords based on the Information
Provider’s Intention
↓
Recommended Keywords: Chosen among the words that
Occur in many common documents as input keyword
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Problems in KW Recommendation from the
Information Provider’s Side

Relation based on the co-occurrence is different
from the one that will help the users in creating
ideas for information finding

Information providers can put popularly used but
unrelated keywords in their documents with the
intention that their documents are searched as
many times as possible.
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●Our Approach to Keyword Recommendation
Choosing keywords among those used by other users
↓
Analyzing the records of the users’ search log-data
and get the keywords for recommendation.
Points：
･The keywords used in searching documents reflect
the searcher’s(user’s) intention.
･Searching log is useful to find the relationship
between the users and the keywords．
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検索ログを利用したキーワード推薦システム
SASS(Searching Assistant with Social Selection)
Features：
① Multiple-View Keyword Recommendation：
ー Able to select the viewpoints for recommendation．
② Use of Data Automatically Generates New Data：
ーAvoids “Free-Riding” Problem．
③ Applicable to User/Users Group Recommendation：
ーCollaborative Filtering．
※Applied to an Information Retrieval System of Fujitsu.
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SASS Screen
Conditions
Records
Results
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●Multiple View
Similar Group
Group
Group
Similar User
User
User
Common KW
Search Formula
Search Formula
Related KW
Keyword
Keyword
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Summary
SASS (Searching Assistant with Social Selection)
– Keyword Recommendation based on the
Record of the Users Ex-Searches．
– Avoidable of Information Providers’ Tricks．
– Multi-View Recommendation．
User Recommendation, Searching Behavior Analysis．
Possibility of Tools for Personnel Division.
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Future Directions

Keyword Recommendation
– Similarity Measure
– Visualization
– Collaboration with Search Engine

Analysis Tool of Searching Behavior
– Searcher Profiling．
– Human Resource Management (Skill DB) for
Corporate Knowledge Management．
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Towards More Advanced
Information Services

Assisting Information Retrieval/Search
Keyword Recommendation
– Combining with Thesaurus

Thesaurus
– 1. A book of synonyms, often including related and
contrasting words and antonyms.
– 2. A book of selected words or concepts, such as a
specialized vocabulary of a particular field, as of medicine or
music.
– 1 分類語彙（ごい）辞典,シソーラス.
– 2 知識の宝庫,辞典,百科事典.
– 4 〔コンピュータ〕シソーラス,類語辞書.
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Keywords Recommendation
Combination with Thesaurus
アルコール飲料
UF 酒類
NT 混成酒
• みりん
• リキュール
醸造酒
• 果実酒
• ・ぶどう酒
• ・りんご酒
BT 飲料
• 食品
発酵食品
JICST科学技術用語シソーラス
“酒類”
→“アルコール飲料”
 “酒類”
Too Many Candidates
→”混成酒“，”醸造酒“，
“蒸留酒”，“発泡酒”
Too Few Candidates
→”飲料“，”発酵食品“

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UF: used for NT: narrower term BT: broader term
KW推薦に関する他の研究
Kawano: Overview of Mondou web search
engine using text mining and information
visualizing technologies, ICDL-Kyoto,
2000.
 Takano et al.: Associative Information
Access Using DualNAVI, ibid.
 Kim: Developing a Domain-Specific
Document Retrieval Mechanism,
PKAW2000.

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G4:ネットワーク情報サービス
Advanced Network Services

G3で出されたアイディアの中から１つ案を選び，それを実現させる方法の提
案を行う
Choose one idea among those presented in the G3 or the ones inspired from
them.
– 実現するために考えるべきテーマの列挙
List the topics to be considered.
– それぞれのテーマに関する課題の列挙とその解決策
List the issues to be solved relating to each of the topics. Find out how to solve the
issues.

重要な事：(What’s important?)
案の完成度を上げる
Think out the issues and make them practical as possible.
– 内容の具体化(Give shape to your ideas.)
– 様々な観点からの実現可能性の検討(Consider all things to be practical.)
– 他のサービスとの差別化(What are the advantages that differentiate your plan?)
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