Cited By
View all- Gogna AMajumdar A(2017)DiABlOInformation Sciences: an International Journal10.1016/j.ins.2016.10.043378:C(59-74)Online publication date: 1-Feb-2017
Diversity and novelty in web search, recommender systems and data streams
Authors: 
Rodrygo L.T. Santos, Pablo Castells, Ismail Sengor Altingovde, 
Fazli CanAuthors Info & Claims
Rodrygo L.T. Santos, Pablo Castells, Ismail Sengor Altingovde, Fazli CanAuthors Info & ClaimsPages 679 - 680
Abstract
This tutorial aims to provide a unifying account of current research on diversity and novelty in the domains of web search, recommender systems, and data stream processing.
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- Diversity and novelty in web search, recommender systems and data streams
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Information & Contributors
Information
Published In
February 2014
712 pages
ISBN:9781450323512
DOI:10.1145/2556195
- General Chairs:
- Ben Carterette,
- Fernando Diaz,
- Program Chairs:
- Carlos Castillo,
- Donald Metzler
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 February 2014
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- Tutorial
Conference
WSDM 2014: Seventh ACM International Conference on Web Search and Data Mining
February 24 - 28, 2014
New York, New York, USA
Acceptance Rates
WSDM '14 Paper Acceptance Rate 64 of 355 submissions, 18%;
Overall Acceptance Rate 498 of 2,863 submissions, 17%
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View all- Gogna AMajumdar A(2017)DiABlOInformation Sciences: an International Journal10.1016/j.ins.2016.10.043378:C(59-74)Online publication date: 1-Feb-2017
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