Stories Around You - A Two-Stage Personalized News Recommendation

Meguebli, Youssef; Kacimi, Mouna; Doan, Bich-Liên; Popineau, Fabrice

doi:10.5220/0005159804730479

Cited by 2 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Diversification has been employed for other goals (e.g., tackling query ambiguity; see Santos et al 2015) and several methods are proposed for it (e.g., Dang 2014). Demartini (2011), Giachanou et al (2014), Aktolga and Allan (2013), Aktolga (2014), Gamper (2011, 2012), and Meguebli et al (2014a) considered diversifying the search results according to their sentiments. Aktolga (2014) considered diversification by time and opinionatedness.…”

Section: Diversificationmentioning

confidence: 99%

“…Aktolga (2014) considered diversification by time and opinionatedness. Gamper (2011, 2012) and Meguebli et al (2014a) used the semantic similarity of documents (the Jaccard similarity of topic elements and (or) key concepts of documents) to obtain semantic diversity, which can be considered a form of aspect-based diversity (see Section 5.4.3). Kiritoshi and Ma (2014, 2016 addressed sentiment-based diversification of news, and they also considered a form of aspect-based diversification by using two measures "difference in factor coverage" and "difference in details".…”

Section: Diversificationmentioning

confidence: 99%

“…Similarly, Ma and Yoshikawa (2009) employed a clustered presentation of news to deliver diverse news reports on a certain news event. Meguebli et al (2014a) and Kiritoshi and Ma (2014, 2016 implicitly considered aspects for diversifying news recommendations by exploiting semantic dissimilarity and 17 To frame (Entman 1993, p. 2) is to "select some aspects of a perceived reality and make them more salient in a communicating text, in such a way as to promote a particular problem definition, causal interpretation, moral evaluation, and/or treatment recommendation for the item described". Kiritoshi and Ma (2014, 2016) employed a "difference in details" measure to consider the differences in the amount of details of news articles.…”

Section: Aspectsmentioning

confidence: 99%

See 2 more Smart Citations

Perspective-based search: a new paradigm for bursting the information bubble

Tabrizi

Shakery

2019

FACETS

View full text Add to dashboard Cite

Nowadays, individuals heavily rely on search engines for seeking information. The presence of information bubbles (filter bubbles and echo chambers) can threaten the effectiveness of these systems in providing unbiased information and damage healthy civic discourse and open-minded deliberation. In this paper, we propose a new paradigm for search that aims at mitigating the information bubble in the search. The paradigm, which we call perspective-based search (PBS), is based on the intuition that in a fair search the user should not be limited to the results corresponding to a specific perspective of the search topic. Briefly, in PBS, different perspectives of the search topic are identified and presented to the user and the user can select a perspective for the search results. In this paper, we focus on the paradigm itself, why it is an appropriate solution, and how it differs from other solutions. We raise new questions and call for research on the paradigm and on providing solutions for implementing its required components. We do not aim at providing any specific implementation for it, although we provide some hints on implementing it. We also provide a survey of the related concepts and methods and discuss their differences with PBS.

show abstract