HOME > 상세정보

상세정보

Spatio-temporal recommendation in social media [electronic resource]

Spatio-temporal recommendation in social media [electronic resource]

자료유형
E-Book(소장)
개인저자
Yin, Hongzhi. Cui, Bin.
서명 / 저자사항
Spatio-temporal recommendation in social media [electronic resource] / Hongzhi Yin, Bin Cui.
발행사항
Singapore :   Springer Singapore :   Imprint: Springer,   2016.  
형태사항
1 online resource (xiii, 114 p.) : ill. (some col.).
총서사항
SpringerBriefs in computer science,2191-5768
ISBN
9789811007484
요약
This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users’ behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users’ behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.
일반주기
Title from e-Book title page.  
내용주기
1. Introduction -- 2. Temporal Context-Aware Recommendation -- 3. Spatial Context-Aware Recommendation -- 4. Location-based and Real-time Recommendation -- 5. Fast Online Recommendation.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Recommender systems (Information filtering). Social media.
바로가기
URL
000 00000nam u2200205 a 4500
001 000046031740
005 20200702101412
006 m d
007 cr
008 200611s2016 si a ob 000 0 eng d
020 ▼a 9789811007484
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QA76.9.D343
082 0 4 ▼a 005.5/6 ▼2 23
084 ▼a 005.56 ▼2 DDCK
090 ▼a 005.56
100 1 ▼a Yin, Hongzhi.
245 1 0 ▼a Spatio-temporal recommendation in social media ▼h [electronic resource] / ▼c Hongzhi Yin, Bin Cui.
260 ▼a Singapore : ▼b Springer Singapore : ▼b Imprint: Springer, ▼c 2016.
300 ▼a 1 online resource (xiii, 114 p.) : ▼b ill. (some col.).
490 1 ▼a SpringerBriefs in computer science, ▼x 2191-5768
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a 1. Introduction -- 2. Temporal Context-Aware Recommendation -- 3. Spatial Context-Aware Recommendation -- 4. Location-based and Real-time Recommendation -- 5. Fast Online Recommendation.
520 ▼a This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users’ behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users’ behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Recommender systems (Information filtering).
650 0 ▼a Social media.
700 1 ▼a Cui, Bin.
830 0 ▼a SpringerBriefs in computer science.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-981-10-0748-4
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 005.56 등록번호 E14024151 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

관련분야 신착자료