Table Of ContentStudies in Computational Intelligence 742
Tokuro Matsuo
Tsunenori Mine
Sachio Hirokawa Editors
New Trends
in E-service
and Smart
Computing
Studies in Computational Intelligence
Volume 742
Series editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
e-mail: [email protected]
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More information about this series at http://www.springer.com/series/7092
Tokuro Matsuo Tsunenori Mine
(cid:129)
Sachio Hirokawa
Editors
New Trends in E-service
and Smart Computing
123
Editors
Tokuro Matsuo SachioHirokawa
AdvancedInstituteofIndustrialTechnology Kyushu University
Tokyo Fukuoka
Japan Japan
Tsunenori Mine
Kyushu University
Fukuoka
Japan
ISSN 1860-949X ISSN 1860-9503 (electronic)
Studies in Computational Intelligence
ISBN978-3-319-70634-4 ISBN978-3-319-70636-8 (eBook)
https://doi.org/10.1007/978-3-319-70636-8
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Preface
This book includes theory and practice on emerging technologies in e-service and
artificial intelligence from an academic and professional viewpoint. In Chapter
““Co-occurrence Relation” and “Ingredient Category” Recommend Alternative-
Ingredients,”authorsstudyoncontentsrecommendationoncookingwhereseveral
ingredients are used. When recipes are defined and some ingredients are not pre-
pared, the system proposes alternative ingredients using data on co-occurrence
relation and ingredients categories. The result of evaluation shows high effective-
ness and tried to use the recommended ingredients in actual cooking workshop.
Chapter“DesignandInitialEvaluationofBluetoothLowEnergySeparateChannel
Fingerprinting” presents a study on location information inference using data
acquired by low-energy Bluetooth devices. The proposed algorithm employs
channel-specific features in fingerprinting and is evaluated in the condition where
sensor devices are positioned in a room. Chapter “Toward Sustainable Smart
Mobility Information Infrastructure Platform: Project Overview” introduces the
sustainable information infrastructure project for smart mobility systems. The
project contains two features on applying lifecycle-oriented system development
methods to real world and dealing with uncertainty in system design and devel-
opment upper phase. Chapter “Model-Based Methodology Establishing
Traceability Between Requirements, Design and Operation Information in
Lifecycle-Oriented Architecture” presents a lifecycle-oriented development pro-
cess which improves the requirement and design in terms of uncertainties for
realizing sustainable information architecture for smart mobility. Authors show a
casestudyusingtheproposeddevelopmentprocesstoatransferguideappPatrash.
Chapter “Sports Game Summarization Based on Sub-events and Game-Changing
Phrases” introduces a summarization task of sports events on Twitter, focusing on
an abstractive approach based on sub-events in the sports event. An experiment
suing the proposed method shows the effectiveness of the sports game summa-
rization method as compared with related work based on an extractive approach.
Chapter “Headline Generation with Recurrent Neural Network” is aimed at gen-
erating a headline using a recurrent neural network which is based on a machine
translation approach. Experiments show the effectiveness of the proposed method,
v
vi Preface
whichcangenerateappropriateheadlinesbutinsomearticlesthismethodgenerate
meaningless headlines. Chapter “Customer State Analysis with Enthusiasm
Analysis” introduces a customer behavior analysis using enthusiasm analysis,
which estimates customers’ activation levels. Author estimates enthusiasm levels,
which denote customers’ activation, from observations and applies them to pre-
diction of discovery of drop-off users. The result of evaluation confirms many
drop-offuserstooklowerenthusiasmlevelsinevaluationpointandtheenthusiasm
level could be used to predict drop-off users.
Dr. Matsuo, Dr. Tsunenori Mine, and Dr. Sachio Hirokawa are grateful to the
authorsandreviewersfortheircontributiontothiswork.Editorsalsoacknowledge
with their gratitude the editorial team of Springer-Verlag for their support during
the preparation of the manuscript.
Tokyo, Japan Dr. Tokuro Matsuo
Fukuoka, Japan Dr. Tsunenori Mine
Fukuoka, Japan Dr. Sachio Hirokawa
July 2017
Contents
“Co-occurrence Relation” and “Ingredient Category” Recommend
Alternative-Ingredients. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Naoki Shino, Ryosuke Yamanishi and Junichi Fukumoto
Design and Initial Evaluation of Bluetooth Low Energy Separate
Channel Fingerprinting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Shigemi Ishida, Yoko Takashima, Shigeaki Tagashira and Akira Fukuda
Toward Sustainable Smart Mobility Information Infrastructure
Platform: Project Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Akira Fukuda, Kenji Hisazumi, Tsunenori Mine, Shigemi Ishida,
Takahiro Ando, Shota Ishibashi, Shigeaki Tagashira, Kunihiko Kaneko,
Yutaka Arakawa, Weiqiang Kong and Guoqiang Li
Model-Based Methodology Establishing Traceability Between
Requirements, Design and Operation Information in
Lifecycle-Oriented Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
Shota Ishibashi, Kenji Hisazumi, Tsuneo Nakanishi and Akira Fukuda
Sports Game Summarization Based on Sub-events
and Game-Changing Phrases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Yuuki Tagawa and Kazutaka Shimada
Headline Generation with Recurrent Neural Network . . . . . . . . . . . . . . 81
Yuko Hayashi and Hidekazu Yanagimoto
Customer State Analysis with Enthusiasm Analysis . . . . . . . . . . . . . . . . 97
Hidekazu Yanagimoto
vii
“Co-occurrence Relation” and “Ingredient
Category” Recommend
Alternative-Ingredients
NaokiShino,RyosukeYamanishiandJunichiFukumoto
Abstract Websitesandmagazinesarenowbecomingmoreusefulforgeneralpeople
to cook a dish everyday. Sometimes, we have inconvenience for such information
because the listed ingredients in the recipe can not be prepared. This paper pro-
poses a recommendation method of alternative ingredients towards such situation.
The recommendation is realized by considering co-occurrence of ingredients on
recipedatabaseandingredientcategorystoredinacookingontology.Thesubjective
evaluationexperimentsshowed88%appropriatenessforthealternative-ingredients
recommended by our proposed method. Also, the recommended ingredients were
usedinarealcooking,thegoodtasteswereconfirmedthroughtheworkshop.
1 Introduction
Cookingdishesisakindofcreativeactivityinwhichbothingredientsandmethodsare
selectedandcombined.Thecomplexcombinationsometimesprovidesuswithdeep
emotionandremindsusofthehomecountry:thetasteofmotherandtraditionaltaste.
Cookingrecipeshavebeenstoredtomakeagoodtastydishagainandagain,butit
usedtobedifficulttogetsuchrecipesforgoodtastedishes.However,gettingagood
recipe would become easier because of some recipe website such as “Cookpad1”
and “allrecipes.com.2” The number of users checking recipes every day recently
increases;thenumberCookpadusersisabout56,440,000on2015.
1http://cookpad.com/.
2http://allrecipes.com/.
B
N.Shino·R.Yamanishi( )·J.Fukumoto
RitsumeikanUniversityInformationScienceandEngineering,Nojihigashi1–1–1,
Kusatsu,Shiga,Japan
e-mail:[email protected]
N.Shino
e-mail:[email protected]
J.Fukumoto
e-mail:[email protected]
©SpringerInternationalPublishingAG2018 1
T.Matsuoetal.(eds.),NewTrendsinE-serviceandSmartComputing,
StudiesinComputationalIntelligence742,https://doi.org/10.1007/978-3-319-70636-8_1
2 N.Shinoetal.
RecipesonWebsitegenerallyshowboththeingredientsthatshouldbeprepared
foradishandtheprocedure ofthecooking.Someofthelistedingredients,some-
times,cannotbeusedforthecookingbecauseofsomereasons:dislikes,allergies,
religions,decreasinginthecatch,andnotsoldintheneighbor.Itisdifficultforusers
to search recipes the users like while preventing to use such ingredients. Some of
themalternativelyuseanotheringredientinsteadofanon-availableingredient;we
definesuchaningredientasanalternative-ingredientinthispaper.Tothinkupappro-
priatealternative-ingredientsneedsmuchknowledgeandexperienceforingredients.
Forevenexpertsforcooking,itshouldbedifficulttochoosealternative-ingredients
consideringacomplexrelationshipbetweeningredientsinarecipe.
Thegoalofthisstudyistoenhancebothbeginnersandexpertsforcookingwith
convenienceandcreativityprovidedbyusingalternative-ingredient.Inthispaper,we
proposearecommendationmethodforalternative-ingredients.Theproposedmethod
is a mix of machine learning and knowledge engineering techniques. The varied
expressions of ingredients would be merged according to the proposed cleansing
rulewithaningredientontology.Therelationshipsamongingredientsareacquired
fromco-occurrencerelationsinarecipedatabase.
2 RelatedWork
Reciperecommendationhasbeenreportedinsomeexistingpapers.Uetaetal.has
developedareciperecommendationsystembasedonnutritioninformation[1].Their
systemdoesnotonlyrecommendrecipesbutalsocomposeadatabaseofingredients
nutrition.Therecipesrecommendedbytheirsystemcontainseffectivenutritionfor
the user’s requirement such as bad point of his/her body and a kind of symptoms.
Thenadatabaseofingredientsnutritionisstructuredwhileusingtheirrecommen-
dation system. Freyne et al. propose a recipe recommendation system considering
thepreferenceofusersfordiet[2].Theirsystemisbasedoncollaborativefiltering.
Sobecki et al. propose a recipe recommendation system which uses demographic,
content-based,andcollaborativefiltering[3].Abovestudiesarefortherecommen-
dation of recipe against the goal of this study which is the recommendation of
alternative-ingredient.Thispaperfocusesontheinsideofarecipe,andtrytohelp
userstoarrangeanexistingrecipebythemselvesusingalternative-ingredient.
Therearesomemethodstofindanalternative-ingredient.Cojanetal.developed
theprojectcalled“TAABLE3”in“ComputerCookingContest.”InTAABLE3,they
constructedasearchsystemforalternativeingredientsbasedoninformationofalter-
nativeingredientsonweb[4].Tengetal.structuredsubstituteingredientsnetworks
basedonusageoningredientsonrecipedatabase[5].Thismethoddiscoversalterna-
tiveingredientsfromseveralrecipesofeachdish.Thoughbothsuitabilitywithother
ingredientsandsimilaritywiththeexchanged-ingredientareimportantinchoosing
alternative-ingredient,suchmethodsdonottakethemintheirconsideration.
ChefWatoson[6]recommendsadditionalingredientsforadishbasedonanalysis
ofrecipedatabase.TheadditionalingredientsarerecommendedbyChefWatsonis
basedontheresearchabouttheflavorofingredientsbyAhnetal.[7].However,the
