Making Use of More Reviews Skillfully in Explaninable Recommendation Gerneration

2021 ◽  
Vol 2 (4) ◽  
pp. 434-447
Author(s):  
Shunsuke Kido ◽  
Ryuji Sakamoto ◽  
Masayoshi Aritsugi

There are a lot of reviews in the Internet, and existing explainable recommendation techniques use them. However, how to use reviews has not been so far adequately addressed. This paper proposes a new exploiting method of reviews in explainable recommendation generation. Our new method makes use of not only reviews written but also those referred to by users. This paper adopts two state-of-the-art explainable recommendation approaches and shows how to apply our method to them. Moreover, our method in this paper considers the possibility of making use of reviews which do not provide detailed review utilization. Our proposal can be applied to different explainable recommendation approaches, which is shown by adopting the two approaches, with reviews that do not necessarily provide their detailed utilization data. The evaluation with using Amazon reviews shows an improvement of the two explainable recommendation approaches. Our proposal is the first attempt to make use of reviews which are written or referred to by users in generating explainable recommendation. Particularly, this study does not suppose that reviews provide their detailed utilization data.

10.28945/4334 ◽  
2019 ◽  

Aim/Purpose: This contribution is a tutorial workshop on searching and finding information by using an image as query. Also related topics are addressed. Participants learn about state-of-the-art applications and limitations of reverse image search on the internet and WWW. So they will be motivated and enabled to apply this relatively new method to discover information and to support other potential users. Methodology: This workshop is mainly a long lecture illustrated with practical examples. Interactions with the participants make the session more dynamic. Each participant can also execute practical tests, using a computer and internet.


2014 ◽  
Vol 602-605 ◽  
pp. 3363-3366
Author(s):  
Yi Ming Sun ◽  
Chun Lei Han

In order to automatically identify the mobile phones' reviews that the users comment on the mobile phone on the internet and obtain valuable information from the reviews, this paper presents the process of constructing ontology for the mobile phones' reviews and preliminarily establish a domain ontology of the mobile phones' reviews. The ontology construction adopts the Protégé tool and the Seven Steps method of Stanford University research. The ontology can provide convenience for the semantic information mining on Web mobile phones' reviews, and it can provide a new method to effectively mine the use feelings of the phone from a large number of mobile phone users' reviews.


i-com ◽  
2017 ◽  
Vol 16 (2) ◽  
pp. 181-193 ◽  
Author(s):  
Christian Reuter ◽  
Katja Pätsch ◽  
Elena Runft

AbstractThe Internet and especially social media are not only used for supposedly good purposes. For example, the recruitment of new members and the dissemination of ideologies of terrorism also takes place in the media. However, the fight against terrorism also makes use of the same tools. The type of these countermeasures, as well as the methods, are covered in this work. In the first part, the state of the art is summarized. The second part presents an explorative empirical study of the fight against terrorism in social media, especially on Twitter. Different, preferably characteristic forms are structured within the scope with the example of Twitter. The aim of this work is to approach this highly relevant subject with the goal of peace, safety and safety from the perspective of information systems. Moreover, it should serve following researches in this field as basis and starting point.


2018 ◽  
Vol 17 (2) ◽  
pp. 169
Author(s):  
Aceng Ruhendi Saifullah

Dalam dekade terakhir, kajian tentang  relasi bahasa, media, dan teknologi komunikasi telah menjadi kajian lintas disiplin yang menarik  perhatian para ahli dari berbagai disiplin ilmu. Lebih khusus, dalam kaitannya dengan kajian wacana  di Internet, penggunaan bahasa di Internet  dipandang sebagai pertanda lahirnya “new genre” sekaligus sebagai the state of the art dalam kajian wacana, yang dikenal sebagai kajian computer mediated discourse analysis (CMDA).  Dalam konteks perkembangan itu, kajian ini dimaksudkan untuk merumuskan model  analisis relasi bahasa dan Internet berbasis CMDA. Pertanyaannya, “sejauh mana paradigma CMDA  dapat dirumuskan sebagai model pengembangan analisis relasi bahasa dan Internet. Kajian ini menemukan, bahwa ragam bahasa di Internet tidak sepenuhnya menunjukkan ciri-ciri ragam tulis, akan tetapi cenderung menunjukkan ciri-ciri “ragam lisan yang dituliskan”. Di samping itu, ditemukan pula, bahwa konteks media dan konteks situasi komunikasi tampak berpengaruh secara signifikan dalam menentukan makna suatu tuturan di Internet.  Dengan demikian, paradigma CMDA dalam kajian wacana di Internet tampak relevan digunakan, terutama untuk mengindentifikasi ragam bahasa dan makna tuturan di Internet.Kata kunci: konteks media; konteks situasi komunikasi; Internet; computer mediated discourse analysis (CMDA)In the last decade, the study of language relations, media, and communications technology has become an interdisciplinary study that attracts the attention of experts from various disciplines. More specifically, in relation to the study of discourse on the Internet, the use of language on the Internet is seen as a sign of the birth of "new genre" as well as the state of the art in discourse studies, known as computer mediated discourse analysis (CMDA). In the context of this development, this study is intended to formulate models of analysis of language and Internet relationships based on CMDA. The question centers on the extent to which the CMDA paradigm can be formulated as a model for the development of language and Internet relation analysis. This study reveals that the variety of languages on the Internet does not fully show the characteristics of writing, but tends to show the characteristics of "written verbal". In addition, the analysis showed that the context of the media and the context of the communication situation seemed to have a significant effect on determining the meaning of a speech on the Internet. Thus, the CMDA paradigm in the study of discourse on the Internet seems relevant to use, especially to identify the variety of languages and meanings of speech on the Internet.Keywords: media context; context of communication situation; Internet; computer mediated discourse analysis (CMDA)


2019 ◽  
Vol 8 (2S11) ◽  
pp. 3539-3543

In this present state-of-the-art, Internet of Things (IOT) is an emerging technology that is making our world smarter. WiFi enabled greenhouse monitoring is an intelligent system which is based on several sensors that monitor various changes in temperature, gas concentrations, light and soil moisture in the greenhouse. This comes with an added advantage or provision of linking all these sensors to your mobile phones or computers/laptops using Wi-Fi and internet services through the concept of Internet of Things (IoT), so that if there are any fluctuations, you will be notified immediately. This provides convenient control, through manual operations if necessary, of the greenhouse anytime and anywhere as long as the device is connected to the internet. In this an artificial environment is created so that the crops yield more crops per square meter compared to open field cultivation since the micro climatic parameters that determine crop yield are continuously examined and controlled to ensure that an optimum environment is created.


Author(s):  
CHANG-HWAN LEE

In spite of its simplicity, naive Bayesian learning has been widely used in many data mining applications. However, the unrealistic assumption that all features are equally important negatively impacts the performance of naive Bayesian learning. In this paper, we propose a new method that uses a Kullback–Leibler measure to calculate the weights of the features analyzed in naive Bayesian learning. Its performance is compared to that of other state-of-the-art methods over a number of datasets.


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