DEESSE: Entity-driven exploratory and serendipitous search SystEm

Olivier Van Laere, Ilaria Bordino, Yelena Mejova, Mounia Lalmas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We present DEESSE [1], a tool that enables an exploratory and serendipitous exploration - at entity level, of the content of two different social media: Wikipedia, a user-curated online encyclopedia, and Yahoo Answers, a more unconstrained question/answering forum. DEESSE represents the content of each source as an entity network, which is further enriched with metadata about sentiment, writing quality, and topical category. Given a query entity, entity results are retrieved from the network by employing an algorithm based on a random walk with restart to the query. Following the emerging paradigm of composite retrieval, we organize the results into topically coherent bundles instead of showing them in a simple ranked list.

Original languageEnglish
Title of host publicationCIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery, Inc
Pages2072-2074
Number of pages3
ISBN (Print)9781450325981
DOIs
Publication statusPublished - 3 Nov 2014
Event23rd ACM International Conference on Information and Knowledge Management, CIKM 2014 - Shanghai, China
Duration: 3 Nov 20147 Nov 2014

Other

Other23rd ACM International Conference on Information and Knowledge Management, CIKM 2014
CountryChina
CityShanghai
Period3/11/147/11/14

Fingerprint

Metadata
Composite materials
Query

Keywords

  • Composite retrieval
  • Entity networks
  • Entity search

ASJC Scopus subject areas

  • Information Systems and Management
  • Computer Science Applications
  • Information Systems

Cite this

Van Laere, O., Bordino, I., Mejova, Y., & Lalmas, M. (2014). DEESSE: Entity-driven exploratory and serendipitous search SystEm. In CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management (pp. 2072-2074). Association for Computing Machinery, Inc. https://doi.org/10.1145/2661829.2661853

DEESSE : Entity-driven exploratory and serendipitous search SystEm. / Van Laere, Olivier; Bordino, Ilaria; Mejova, Yelena; Lalmas, Mounia.

CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, 2014. p. 2072-2074.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Van Laere, O, Bordino, I, Mejova, Y & Lalmas, M 2014, DEESSE: Entity-driven exploratory and serendipitous search SystEm. in CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, pp. 2072-2074, 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, 3/11/14. https://doi.org/10.1145/2661829.2661853
Van Laere O, Bordino I, Mejova Y, Lalmas M. DEESSE: Entity-driven exploratory and serendipitous search SystEm. In CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc. 2014. p. 2072-2074 https://doi.org/10.1145/2661829.2661853
Van Laere, Olivier ; Bordino, Ilaria ; Mejova, Yelena ; Lalmas, Mounia. / DEESSE : Entity-driven exploratory and serendipitous search SystEm. CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, 2014. pp. 2072-2074
@inproceedings{2862bb2940b746148ad263e2a7f17f84,
title = "DEESSE: Entity-driven exploratory and serendipitous search SystEm",
abstract = "We present DEESSE [1], a tool that enables an exploratory and serendipitous exploration - at entity level, of the content of two different social media: Wikipedia, a user-curated online encyclopedia, and Yahoo Answers, a more unconstrained question/answering forum. DEESSE represents the content of each source as an entity network, which is further enriched with metadata about sentiment, writing quality, and topical category. Given a query entity, entity results are retrieved from the network by employing an algorithm based on a random walk with restart to the query. Following the emerging paradigm of composite retrieval, we organize the results into topically coherent bundles instead of showing them in a simple ranked list.",
keywords = "Composite retrieval, Entity networks, Entity search",
author = "{Van Laere}, Olivier and Ilaria Bordino and Yelena Mejova and Mounia Lalmas",
year = "2014",
month = "11",
day = "3",
doi = "10.1145/2661829.2661853",
language = "English",
isbn = "9781450325981",
pages = "2072--2074",
booktitle = "CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management",
publisher = "Association for Computing Machinery, Inc",

}

TY - GEN

T1 - DEESSE

T2 - Entity-driven exploratory and serendipitous search SystEm

AU - Van Laere, Olivier

AU - Bordino, Ilaria

AU - Mejova, Yelena

AU - Lalmas, Mounia

PY - 2014/11/3

Y1 - 2014/11/3

N2 - We present DEESSE [1], a tool that enables an exploratory and serendipitous exploration - at entity level, of the content of two different social media: Wikipedia, a user-curated online encyclopedia, and Yahoo Answers, a more unconstrained question/answering forum. DEESSE represents the content of each source as an entity network, which is further enriched with metadata about sentiment, writing quality, and topical category. Given a query entity, entity results are retrieved from the network by employing an algorithm based on a random walk with restart to the query. Following the emerging paradigm of composite retrieval, we organize the results into topically coherent bundles instead of showing them in a simple ranked list.

AB - We present DEESSE [1], a tool that enables an exploratory and serendipitous exploration - at entity level, of the content of two different social media: Wikipedia, a user-curated online encyclopedia, and Yahoo Answers, a more unconstrained question/answering forum. DEESSE represents the content of each source as an entity network, which is further enriched with metadata about sentiment, writing quality, and topical category. Given a query entity, entity results are retrieved from the network by employing an algorithm based on a random walk with restart to the query. Following the emerging paradigm of composite retrieval, we organize the results into topically coherent bundles instead of showing them in a simple ranked list.

KW - Composite retrieval

KW - Entity networks

KW - Entity search

UR - http://www.scopus.com/inward/record.url?scp=84937597137&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937597137&partnerID=8YFLogxK

U2 - 10.1145/2661829.2661853

DO - 10.1145/2661829.2661853

M3 - Conference contribution

AN - SCOPUS:84937597137

SN - 9781450325981

SP - 2072

EP - 2074

BT - CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management

PB - Association for Computing Machinery, Inc

ER -