본문내용 바로가기

KYOBO 교보문고

1만원 캐시백
책들고여행
2020다이어리
  • 교보아트스페이스
  • 북모닝책강
Search Engines : Information Retrieval in Practice
* 중고장터 판매상품은 판매자가 직접 등록/판매하는 상품으로 판매자가 해당상품과 내용에 모든 책임을 집니다. 우측의 제품상태와 하단의 상품상세를 꼭 확인하신 후 구입해주시기 바랍니다.
페이지 : 정보준비중 | 0.00 * 0.00 * 0.00 (cm)
ISBN-10 : 0131364898
ISBN-13 : 9780131364899
Search Engines : Information Retrieval in Practice [Paperback] 중고
저자 Croft, W. Bruce | 출판사 Pearson Education Corporate
정가
39,000원
판매가
35,100원 [10%↓, 3,900원 할인]
배송비
3,000원 (판매자 직접배송)
100,000원 이상 결제 시 무료배송
지금 주문하시면 2일 이내 출고 가능합니다.
토/일, 공휴일을 제외한 영업일 기준으로 배송이 진행됩니다.
2009년 3월 1일 출간
제품상태
상태 최상 외형 최상 내형 최상
이 상품 최저가
35,100원 다른가격더보기
  • 35,100원 종이밥책벌레 우수셀러 상태 최상 외형 최상 내형 최상
  • 35,100원 우주책방 특급셀러 상태 최상 외형 최상 내형 최상
새 상품
39,000원 [0%↓, 0원 할인] 새상품 바로가기
수량추가 수량빼기
안내 :

중고장터에 등록된 판매 상품과 제품의 상태는 개별 오픈마켓 판매자들이 등록, 판매하는 것으로 중개 시스템만을 제공하는
인터넷 교보문고에서는 해당 상품과 내용에 대해 일체 책임을 지지 않습니다.

교보문고 결제시스템을 이용하지 않은 직거래로 인한 피해 발생시, 교보문고는 일체의 책임을 지지 않습니다.

중고책 추천 (판매자 다른 상품)

더보기

판매자 상품 소개

※ 해당 상품은 교보문고에서 제공하는 정보를 활용하여 안내하는 상품으로제품 상태를 반드시 확인하신 후 구입하여주시기 바랍니다.

판매자 배송 정책

  • 토/일, 공휴일을 제외한 영업일 기준으로 배송이 진행됩니다.

더보기

구매후기 목록
NO 구매후기 구매만족도 ID 등록일
7 잘받았습니다 감사합니다 5점 만점에 4점 ikm00*** 2019.12.06
6 좋은 책 감사합니다. 5점 만점에 4점 sig*** 2019.08.29
5 빠른배송 매우 만족합니다. 5점 만점에 5점 dldu*** 2019.07.10
4 책 상태도 좋고 배송도 생각보다 일찍 도착했어요. 5점 만점에 5점 requiem*** 2019.06.27
3 주문 담날 도착했어요..포장 깨끗했고..상품도 새책이네요...수고하세요.. 5점 만점에 5점 yhj0*** 2018.10.14

이 책의 시리즈

책 소개

상품구성 목록
상품구성 목록

For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine.

SUPPLEMENTS

- Extensive lecture slides (in PDF and PPT format)
- Solutions to selected end of chapter problems (Instructors only)
- Test collections for exercises
- Galago search engine

Features
-Practical treatment of the IR field gives aspiring search engineers the understanding and tools they need to evaluate, compare, and modify search engines.
-Broad, yet concise, coverage of only the most important issues and techniques in search engines includes the underlying IR and mathematical models to reinforce key concepts.
-End-of-chapter programming exercises use Galago, a fully functional Java™-based open source search engine that can be used to support real applications. Many of the programming exercises require the use, modification, and extension of Galago components.
-Instructor supplements include lecture slides (in PDF and PPT format), solutions to select end-of-chapter problems, test collections for exercises, and the Galago search engine.

저자소개

저자 : Croft, W. Bruce
W. Bruce Croft is a Distinguished Professor in the Department of Computer Science at the University of Massachusetts, Amherst, which he joined in 1979. In 1992, he became the Director of the Center for Intelligent Information Retrieval (CIIR), which combines basic research with technology transfer to a variety of government and industry partners. He has published more than 180 articles related to information retrieval. Dr. Croft was elected a Fellow of ACM in 1997, received the Research Award from the American Society for Information Science and Technology in 2000, and received the Gerard Salton Award from the ACM Special Interest Group in Information Retrieval (SIGIR) in 2003.

저자 : Metzler, Donald
Donald Metzler is a Research Scientist in the Search and Computational Advertising group at Yahoo! Research in Santa Clara, CA. He obtained his Ph.D. from the University of Massachusetts in 2007. During his graduate studies he was awarded a Microsoft Live Labs Graduate Fellowship. His research interests include formal information retrieval models, web search, advertising, and machine learning.

저자 : Strohman, Trevor
Trevor Strohman is a software engineer in the Google search quality division. His Ph.D., from the University of Massachusetts Amherst, focused on high-performance text retrieval systems that are easily adaptable to fit specific retrieval applications. He has published papers and presented a tutorial at the top information retrieval conference, SIGIR. He is the creator of the Galago search engine, and the primary developer of the Indri search engine (www.lemurproject.org/indri). He has ten years of professional software development experience, including desktop, server, and web applications.

목차

1 Search Engines and Information Retrieval . . . . . . . . . . . . . . . . . . . . . . . 1

1.1 What is Information Retrieval? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Search Engines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
1.3 Search Engineers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
1.4 Book Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

2 Architecture of a Search Engine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

2.1 What is an Architecture? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.2 Basic Building Blocks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.3 Breaking It Down . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
2.3.1 Text Acquisition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
2.3.2 Text Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
2.3.3 Index Creation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
2.3.4 User Interaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
2.3.5 Ranking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
2.3.6 Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
2.4 How Does It Really Work? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

3 Crawls and Feeds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

3.1 Deciding what to search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
3.2 Crawling the Web . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
3.3 Directory Crawling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
3.4 Document Feeds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
3.5 The Conversion Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
3.6 Storing the Documents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
3.7 Detecting Duplicates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
3.8 Removing Noise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

4 Processing Text . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47

4.1 From Words to Terms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
4.2 Text Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
4.2.1 Vocabulary Growth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
4.2.2 Estimating Database and Result Set Sizes . . . . . . . . . . . . . . . 57
4.3 Document Parsing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
4.3.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
4.3.2 Tokenizing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
4.3.3 Stopping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
4.3.4 Stemming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
4.3.5 Phrases and N-grams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71
4.4 Document Structure and Markup . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
4.5 Link Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78
4.5.1 Anchor Text . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
4.5.2 PageRank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
4.5.3 Link Quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
4.6 Information Extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87
4.7 Internationalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92

5 Ranking with Indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99

5.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
5.2 Abstract Model of Ranking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100
5.3 Inverted indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
5.3.1 Documents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
5.3.2 Counts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
5.3.3 Positions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108
5.3.4 Fields and Extents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110
5.3.5 Scores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112
5.3.6 Ordering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
5.4 Compression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114
5.4.1 Entropy and Ambiguity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116
5.4.2 Delta Encoding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118
5.4.3 Bit-aligned codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
5.4.4 Byte-aligned codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122
5.4.5 Looking ahead . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
5.4.6 Skipping and Skip Pointers . . . . . . . . . . . . . . . . . . . . . . . . . . . 124
5.5 Auxiliary Structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126
5.6 Index Construction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128
5.6.1 Simple Construction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128
5.6.2 Merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130
5.6.3 Parallelism and Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . 131
5.6.4 Update . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136
5.7 Query Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138
5.7.1 Document-at-a-time evaluation . . . . . . . . . . . . . . . . . . . . . . . 138
5.7.2 Term-at-a-time evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140
5.7.3 Optimization techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142
5.7.4 Structured queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
5.7.5 Distributed evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152
5.7.6 Caching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153

6 Queries and Interfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159

6.1 Information Needs and Queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159
6.2 Query Transformation and Refinement . . . . . . . . . . . . . . . . . . . . . . . 162
6.2.1 Stopping and Stemming Revisited . . . . . . . . . . . . . . . . . . . . . 162
6.2.2 Spell Checking and Suggestions . . . . . . . . . . . . . . . . . . . . . . . 165
6.2.3 Query Expansion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171
6.2.4 Relevance Feedback . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179
6.2.5 Context and Personalization . . . . . . . . . . . . . . . . . . . . . . . . . . 183
6.3 Showing the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186
6.3.1 Result Pages and Snippets . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186
6.3.2 Advertising and Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189
6.3.3 Clustering the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193
6.4 Cross-Language Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196

7 Retrieval Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205

7.1 Overview of Retrieval Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205
7.1.1 Boolean Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207
7.1.2 The Vector Space Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209
7.2 Probabilistic Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215
7.2.1 Information Retrieval as Classification . . . . . . . . . . . . . . . . . 216
7.2.2 The BM25 Ranking Algorithm . . . . . . . . . . . . . . . . . . . . . . . . 221
7.3 Ranking based on Language Models . . . . . . . . . . . . . . . . . . . . . . . . . 224
7.3.1 Query Likelihood Ranking . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
7.3.2 Relevance Models and Pseudo-Relevance Feedback . . . . . . 232
7.4 Complex Queries and Combining Evidence . . . . . . . . . . . . . . . . . . . 238
7.4.1 The Inference Network Model . . . . . . . . . . . . . . . . . . . . . . . . 239
7.4.2 The Galago Query Language . . . . . . . . . . . . . . . . . . . . . . . . . . 245
7.5 Web Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250
7.6 Machine Learning and Information Retrieval . . . . . . . . . . . . . . . . . . 255
7.6.1 Learning to Rank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256
7.6.2 Topic Models and Vocabulary Mismatch . . . . . . . . . . . . . . . . 259
7.7 Application-Based Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262

8 Evaluating Search Engines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269

8.1 Why Evaluate? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269
8.2 The Evaluation Corpus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271
8.3 Logging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277
8.4 Effectiveness Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280
8.4.1 Recall and Precision . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280
8.4.2 Averaging and Interpolation . . . . . . . . . . . . . . . . . . . . . . . . . . 285
8.4.3 Focusing On The Top Documents . . . . . . . . . . . . . . . . . . . . . 290
8.4.4 Using Preferences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293
8.5 Efficiency Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294
8.6 Training, Testing, and Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297
8.6.1 Significance Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297
8.6.2 Setting Parameter Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302
8.7 The Bottom Line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304

9 Classification and Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309

9.1 Classification and Categorization . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310
9.1.1 Na?ve Bayes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312
9.1.2 Support Vector Machines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320
9.1.3 Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 328
9.1.4 Classifier and Feature Selection . . . . . . . . . . . . . . . . . . . . . . . . 329
9.1.5 Spam, Sentiment, and Online Advertising . . . . . . . . . . . . . . 333
9.2 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343
9.2.1 Hierarchical and K-Means Clustering . . . . . . . . . . . . . . . . . . 344
9.2.2 K Nearest Neighbor Clustering . . . . . . . . . . . . . . . . . . . . . . . 354
9.2.3 Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356
9.2.4 How to Choose K . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357
9.2.5 Clustering and Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359

10 Social Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365

10.1 What is Social Search? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365
10.2 User Tags and Manual Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366
10.3 Searching With Communities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366
10.4 Filtering and Recommending . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366
10.4.1 Document Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366
10.4.2 Collaborative Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375
10.5 Personalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380
10.6 Peer-to-Peer and Metasearch . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380
10.6.1 Distributed search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380
10.6.2 P2P Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384
11 Beyond Bag of Words . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391
11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391
11.2 Feature-Based Retrieval Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392
11.3 Term Dependence Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394
11.4 Structure Revisited . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399
11.4.1 XML Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401
11.5 Longer Questions, Better Answers . . . . . . . . . . . . . . . . . . . . . . . . . . . 404
11.6 Words, Pictures, and Music . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408
11.7 One Search Fits All? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445

책 속으로

출판사 서평

책 속 한 문장

회원리뷰

교환/반품안내

※ 상품 설명에 반품/교환 관련한 안내가 있는 경우 그 내용을 우선으로 합니다. (업체 사정에 따라 달라질 수 있습니다.)

교환/반품안내
반품/교환방법

[판매자 페이지>취소/반품관리>반품요청] 접수
또는 [1:1상담>반품/교환/환불], 고객센터 (1544-1900)

※ 중고도서의 경우 재고가 한정되어 있으므로 교환이 불가할 수 있으며, 해당 상품의 경우 상품에 대한 책임은 판매자에게 있으며 교환/반품 접수 전에 반드시 판매자와 사전 협의를 하여주시기 바랍니다.

반품/교환가능 기간

변심반품의 경우 수령 후 7일 이내, 상품의 결함 및 계약내용과 다를 경우 문제점 발견 후 30일 이내

※ 중고도서의 경우 판매자와 사전의 협의하여주신 후 교환/반품 접수가 가능합니다.

반품/교환비용 변심 혹은 구매착오로 인한 반품/교환은 반송료 고객 부담
반품/교환 불가 사유

소비자의 책임 있는 사유로 상품 등이 손실 또는 훼손된 경우(단지 확인을 위한 포장 훼손은 제외)

소비자의 사용, 포장 개봉에 의해 상품 등의 가치가 현저히 감소한 경우 예) 화장품, 식품, 가전제품 등

복제가 가능한 상품 등의 포장을 훼손한 경우 예) 음반/DVD/비디오, 소프트웨어, 만화책, 잡지, 영상 화보집

소비자의 요청에 따라 개별적으로 주문 제작되는 상품의 경우 ((1)해외주문도서)

디지털 컨텐츠인 eBook, 오디오북 등을 1회 이상 다운로드를 받았을 경우

시간의 경과에 의해 재판매가 곤란한 정도로 가치가 현저히 감소한 경우

전자상거래 등에서의 소비자보호에 관한 법률이 정하는 소비자 청약철회 제한 내용에 해당되는 경우

1) 해외주문도서 : 이용자의 요청에 의한 개인주문상품이므로 단순 변심 및 착오로 인한 취소/교환/반품 시 해외주문 반품/취소 수수료 고객 부담 (해외주문 반품/취소 수수료는 판매정가의 20%를 적용

2) 중고도서 : 반품/교환접수없이 반송하거나 우편으로 접수되어 상품 확인이 어려운 경우

소비자 피해보상
환불지연에 따른 배상

- 상품의 불량에 의한 교환, A/S, 환불, 품질보증 및 피해보상 등에 관한 사항은 소비자분쟁해결 기준 (공정거래위원회 고시)에 준하여 처리됨

- 대금 환불 및 환불지연에 따른 배상금 지급 조건, 절차 등은 전자상거래 등에서의 소비자 보호에 관한 법률에 따라 처리함

판매자
종이밥책벌레
판매등급
우수셀러
판매자구분
일반
구매만족도
5점 만점에 5점
평균 출고일 안내
3일 이내
품절 통보율 안내
44%

바로가기

최근 본 상품