Titlebook: Bias and Social Aspects in Search and Recommendation; First International Ludovico Boratto,Stefano Faralli,Giovanni Stilo Conference proce

紡織品

Analyzing the Interaction of Users with News Articles to Create Personalization Services,sent in the corpus spans for a range of 4 months, and was extracted from real user interactions with news items in the Yahoo Web portal. The dataset has been analyzed in order to understand users behaviors and their relations with sociological aspects. Thanks to our analysis, different forms of personalization can be generated.

遭遇

Enriching Product Catalogs with User Opinions,uld guide the process of organizing opinions. This paper presents a summary of an approach called ., based on machine-learning techniques, to enrich a product catalog with opinions extracted from product reviews. The experimental results demonstrate the effectiveness of the proposed approach.

defibrillator

Saidmakhamadov Nosir,Karimov Bokhodirters selecting activities and building an evaluation path based on historical evolutions of past students. In this paper, we particularly highlight the crucial clustering task by offering plots and metrics to adjust the decisions of the practitioners.

NEG

,Recommendation Filtering à la carte for Intelligent Tutoring Systems,ters selecting activities and building an evaluation path based on historical evolutions of past students. In this paper, we particularly highlight the crucial clustering task by offering plots and metrics to adjust the decisions of the practitioners.

Glucocorticoids

enchant

令人作嘔

978-3-030-52484-5Springer Nature Switzerland AG 2020

狂亂

Ming Yang,Zhizong Wu,Zhiguo Yan a certain amount of fairness in search is crucial to not only creating a more balanced environment that considers relevance and diversity but also providing a more sustainable way forward for both content consumers and content producers. This short paper examines some of the recent works to define

Apoptosis

廚師

An Approach to Mine Low-Frequency Item-Setsy exists could so far only be tested to a very limited extent. Yet to guarantee the accountability of recommendation and information filtering systems, society needs to be able to determine whether they comply with ethical and legal requirements. This paper focuses on black box analyses as methods t