The Navigation of Topic Space

Research output: Contribution to conferencePaper

Abstract

This poster reports on the evaluation of the topic space recommendation model, proposed here as an alternative to the personalization algorithms based on large datasets that often result in content and subject matter filter bubbles. The content filter bubbles that dominate contemporary Internet media platforms have been shown to provide users more of what they already consume and exclude relevant content at the expense of user exploration and discovery. Modern algorithms have also exhibited the problematic nature of reinforcing systematic bias.

Original languageEnglish (US)
Pages337-338
DOIs
StatePublished - 2018
EventThe 18th ACM/IEEE on Joint Conference on Digital Libraries - Fort Worth, United States
Duration: Jun 3 2018Jun 7 2018
https://2018.jcdl.org/

Conference

ConferenceThe 18th ACM/IEEE on Joint Conference on Digital Libraries
Abbreviated titleJCDL '18
CountryUnited States
CityFort Worth
Period6/3/186/7/18
Internet address

Fingerprint

personalization
poster
Internet
trend
evaluation

Keywords

  • Collection inventory
  • Browsing
  • bibliographic metadata

ASJC Scopus subject areas

  • Library and Information Sciences

Cite this

Hahn, J. (2018). The Navigation of Topic Space. 337-338. Paper presented at The 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, United States. https://doi.org/10.1145/3197026.3203892

The Navigation of Topic Space. / Hahn, Jim.

2018. 337-338 Paper presented at The 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, United States.

Research output: Contribution to conferencePaper

Hahn, J 2018, 'The Navigation of Topic Space' Paper presented at The 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, United States, 6/3/18 - 6/7/18, pp. 337-338. https://doi.org/10.1145/3197026.3203892
Hahn J. The Navigation of Topic Space. 2018. Paper presented at The 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, United States. https://doi.org/10.1145/3197026.3203892
Hahn, Jim. / The Navigation of Topic Space. Paper presented at The 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, United States.
@conference{e04bdb7604f845e8a6e2d259a1f096e8,
title = "The Navigation of Topic Space",
abstract = "This poster reports on the evaluation of the topic space recommendation model, proposed here as an alternative to the personalization algorithms based on large datasets that often result in content and subject matter filter bubbles. The content filter bubbles that dominate contemporary Internet media platforms have been shown to provide users more of what they already consume and exclude relevant content at the expense of user exploration and discovery. Modern algorithms have also exhibited the problematic nature of reinforcing systematic bias.",
keywords = "Collection inventory, Browsing, bibliographic metadata",
author = "Jim Hahn",
year = "2018",
doi = "10.1145/3197026.3203892",
language = "English (US)",
pages = "337--338",
note = "The 18th ACM/IEEE on Joint Conference on Digital Libraries, JCDL '18 ; Conference date: 03-06-2018 Through 07-06-2018",
url = "https://2018.jcdl.org/",

}

TY - CONF

T1 - The Navigation of Topic Space

AU - Hahn, Jim

PY - 2018

Y1 - 2018

N2 - This poster reports on the evaluation of the topic space recommendation model, proposed here as an alternative to the personalization algorithms based on large datasets that often result in content and subject matter filter bubbles. The content filter bubbles that dominate contemporary Internet media platforms have been shown to provide users more of what they already consume and exclude relevant content at the expense of user exploration and discovery. Modern algorithms have also exhibited the problematic nature of reinforcing systematic bias.

AB - This poster reports on the evaluation of the topic space recommendation model, proposed here as an alternative to the personalization algorithms based on large datasets that often result in content and subject matter filter bubbles. The content filter bubbles that dominate contemporary Internet media platforms have been shown to provide users more of what they already consume and exclude relevant content at the expense of user exploration and discovery. Modern algorithms have also exhibited the problematic nature of reinforcing systematic bias.

KW - Collection inventory

KW - Browsing

KW - bibliographic metadata

U2 - 10.1145/3197026.3203892

DO - 10.1145/3197026.3203892

M3 - Paper

SP - 337

EP - 338

ER -