eprintid: 1456
rev_number: 8
eprint_status: archive
userid: 43
dir: disk0/00/00/14/56
datestamp: 2012-12-19 11:09:10
lastmod: 2013-03-12 14:57:00
status_changed: 2012-12-19 11:09:10
type: book_section
metadata_visibility: show
creators_name: Blanco, Roi
creators_name: Ceccarelli, Diego
creators_name: Lucchese, Claudio
creators_name: Perego, Raffaele
creators_name: Silvestri, Fabrizio
creators_id: 
creators_id: diego.ceccarelli@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
title: You should read this! let me explain you why: explaining news recommendations to users
ispublished: pub
subjects: QA75
divisions: EIC
full_text_status: none
keywords: Markov logic networks, news recommendation, query log analysis, recommendation snippets
note: CIKM ’12: 21st ACM Conference on Information and Knowledge Management », Maui, Hawaii, October 2012.
abstract: Recommender systems have become ubiquitous in contentbased
web applications, from news to shopping sites. Nonetheless,
an aspect that has been largely overlooked so far in the recommender system literature is that of automatically
building explanations for a particular recommendation.
This paper focuses on the news domain, and proposes to enhance effectiveness of news recommender systems by adding,
to each recommendation, an explanatory statement to help
the user to better understand if, and why, the item can be
her interest. We consider the news recommender system as a
black-box, and generate different types of explanations employing pieces of information associated with the news. In
particular, we engineer text-based, entity-based, and usagebased explanations, and make use of a Markov Logic Networks to rank the explanations on the basis of their effectiveness. The assessment of the model is conducted via a user study on a dataset of news read consecutively by actual users. Experiments show that news recommender systems
can greatly benefit from our explanation module.
date: 2012
date_type: published
publisher: ACM
place_of_pub: New York
pagerange: 1995-1999
event_title: Proceedings of the 21st ACM international conference on Information and knowledge management
id_number: 10.1145/2396761.2398559
refereed: TRUE
isbn: 978-1-4503-1156-4
book_title:  	CIKM '12 Proceedings of the 21st ACM international conference on Information and knowledge management
official_url: http://doi.acm.org/10.1145/2396761.2398559
citation:   Blanco, Roi and Ceccarelli, Diego and Lucchese, Claudio and Perego, Raffaele and Silvestri, Fabrizio  You should read this! let me explain you why: explaining news recommendations to users.   In:   CIKM '12 Proceedings of the 21st ACM international conference on Information and knowledge management.   ACM, New York, pp. 1995-1999.  ISBN 978-1-4503-1156-4      (2012)