Gianluca Fiorelli - The Alphabet of Google
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GIANLUCA FIORELLI
The Alphabet of Google
@gfiorelli1
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Applichiamo il metodo socratico
gfiorelli1 #theinbounder
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A cosa pensa un SEO quando si parla di
Google?gfiorelli1 #theinbounder
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gfiorelli1 #theinbounder
SHAMEgfiorelli1 #theinbounder
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gfiorelli1 #theinbounder
I soliti sospetti(nulla di personale, ma…)
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Inside Search Blog
Office Hours Videos
Dichiarazioni in rete
Brevetti/Studi Acquisizioni
RumoriPropaganda
Fandom
NuoviGooglers
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APP Indexing
Rich Cards
Real time Indexing API
Webmaster Blog
Interstitial
AMP Series
Reviews in Local KGraph
New AMP Tester
More Https
PWA
Mobile1st
Rich Cards
New Mobile Friendly Test API
UGC Spam
Crawl Budget
Google Safe Browsing’s Site Status
#Nohacked
Similar Item
How We Fought Webspam
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Research BlogPiù di 40 posts in 5 mesi e un solo grande tema gfiorelli1 #theinbounder
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BrevettiSentence Compression PatentAssociating an Entity With a Search QueryMethods & Systems For Classifying Data Using a Hierarchical TaxonomyRanking EventsUser-Context-Based Search EngineRecommended News On Map With Geo EntitiesWill Google Start Giving People Social Media Influencer Scores?How Google May Rank Websites Based Upon Their Databases Answering QueriesGoogle’s Related Questions Patent or ‘People Also Ask’ QuestionsRanking Local Businesses Based Upon Quality Measures including Travel TimeGoogle May Check to See if People Go to Geographic Locations Google May RecommendGoogle Introduces a Social Where Next Suggestion PatentGoogle Search Query Refinements Patent UpdatedGoogle and Spoken Queries: Understanding Stressed PronounsA New Search Results Evaluation Model from GoogleAnswering Featured Snippets Timely, Using Sentence Compression on NewsGoogle Patents Context Vectors to Improve SearchHow Google May Respond to Reverse Engineering of Spam DetectionHow Google May Map a Query to an Entity for Suggestions gfiorelli1 #theinbounder
http://www.seobythesea.com/
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Sentence Compression PatentAssociating an Entity With a Search QueryMethods & Systems For Classifying Data Using a Hierarchical TaxonomyRanking EventsUser-Context-Based Search EngineRecommended News On Map With Geo EntitiesWill Google Start Giving People Social Media Influencer Scores?How Google May Rank Websites Based Upon Their Databases Answering QueriesGoogle’s Related Questions Patent or ‘People Also Ask’ QuestionsRanking Local Businesses Based Upon Quality Measures including Travel TimeGoogle May Check to See if People Go to Geographic Locations Google May RecommendGoogle Introduces a Social Where Next Suggestion PatentGoogle Search Query Refinements Patent UpdatedGoogle and Spoken Queries: Understanding Stressed PronounsA New Search Results Evaluation Model from GoogleAnswering Featured Snippets Timely, Using Sentence Compression on NewsGoogle Patents Context Vectors to Improve SearchHow Google May Respond to Reverse Engineering of Spam DetectionHow Google May Map a Query to an Entity for Suggestions
gfiorelli1 #theinbounder
http://www.seobythesea.com/
Entity SearchVoice SearchInformational RetrievalLocal Search / GeolocalizationSearch User Experience
Brevetti
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Learning from User Interactions in Personal Search via Attribute ParameterizationRelated Event DiscoverySituational Context for Ranking in Personal SearchImproving topic clustering on search queries with word co-occurrence and bipartite graph co-clusteringIncorporating Clicks, Attention and Satisfaction into a Search Engine Result Page Evaluation ModelLarge-Scale Analysis of Viewing Behavior: Towards Measuring Satisfaction with Mobile Proactive SystemsLearning for Efficient Supervised Query Expansion via Two-stage Feature SelectionLearning to Rank with Selection Bias in Personal SearchM3A: Model, MetaModel, and Anomaly Detection in Web SearchesUsing Machine Learning to Improve the Email ExperienceWide & Deep Learning for Recommender Systems
gfiorelli1 #theinbounder
Studi - Information Retrieval
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Learning from User Interactions in Personal Search via Attribute ParameterizationRelated Event DiscoverySituational Context for Ranking in Personal SearchImproving topic clustering on search queries with word co-occurrence and bipartite graph co-clusteringIncorporating Clicks, Attention and Satisfaction into a Search Engine Result Page Evaluation ModelLarge-Scale Analysis of Viewing Behavior: Towards Measuring Satisfaction with Mobile Proactive SystemsLearning for Efficient Supervised Query Expansion via Two-stage Feature SelectionLearning to Rank with Selection Bias in Personal SearchM3A: Model, MetaModel, and Anomaly Detection in Web SearchesUsing Machine Learning to Improve the Email ExperienceWide & Deep Learning for Recommender Systems gfiorelli1 #theinbounder
Machine LearningContextPersonal SearchSearch User Experience
Studi - Information Retrieval
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gfiorelli1 #theinbounder
Generating Long and Diverse Responses with Neural Conversation ModelsLanguage Modeling in the Era of Abundant DataMultilingual Metaphor Processing: Experiments with Semi-Supervised and Unsupervised LearningA Piggyback System for Joint Entity Mention Detection and Linking in Web QueriesCollective Entity Resolution with Multi-Focal AttentionConversational Contextual Cues: The Case of Personalization and History for Response RankingExploring the Steps of Verb Phrase Ellipsis
Studi - Natural Language Processing
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gfiorelli1 #theinbounder
About 45 Papers in just 1 year!Generating Long and Diverse Responses with Neural Conversation ModelsLanguage Modeling in the Era of Abundant DataMultilingual Metaphor Processing: Experiments with Semi-Supervised and Unsupervised LearningA Piggyback System for Joint Entity Mention Detection and Linking in Web QueriesCollective Entity Resolution with Multi-Focal AttentionConversational Contextual Cues: The Case of Personalization and History for Response RankingExploring the Steps of Verb Phrase Ellipsis
Entity Search ContextRhetoric Personalization
Search User Experience
Studi - Natural Language Processing
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WebPass
Moodstock
Anvato
Kifi
LaunchKit
Orbitera
Apigee
Eyefluence
AcquisizioniUrbanEngine
API.ai
Famebit
Kaggle
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gfiorelli1 #theinbounder
ImmaginiVideo Video Influencers
APP Link Sharing & Raccomandazionilocali & Geo-localizzazione
AIChatbotsRicerca Vocale & Linguaggio naturale
ML & DatasetsEntity Search Coding CollaborativoAPI
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ProdottiGoogle Assistant
DayDream VR
Google Home
GBoard
Google Lens
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Search User Experience
Search Experience Optimization
SEO TecnicoHTTP/2Mobile FirstAMP / PWA
SEO come MARKETINGVideo & ImmaginiRicerca Locale Semantic Search
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UNDERSTANDINGINFORMATION RETRIEVALFILTERING & CLUSTERING
RANKINGPAINTING
INDEXING
CRAWLING
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UNDERSTANDINGINFO RETRIEVAL
FILTERING &CLUSTERING
RANKINGPAINTING
PARSING
ML
NOML
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MOBILEFIRST
HTTP/2AMPPWA
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MOBILEFIRST
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MOBILEFIRSTCHECKLIST
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#1Check Mobile Agent / Client
Handling
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#2Seguite il Modello RAIL
https://developers.google.com/web/fundamentals/performance/rail
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#3Implementare i dati strutturati per Rich
Cards a Livello di Dominio e Paginahttps://youtu.be/B0BA7Tswavs
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A livello di Paginahttps://youtu.be/B0BA7Tswavs
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A livello di Dominiohttps://youtu.be/B0BA7Tswavs
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#4Prestare attenzione alla gerarchia
delle Urls > Hreflang!!
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#5Rivedete l’usabilità dei contenutiper evitare un Bounce Rate alto
https://youtu.be/DIGfwUt53nI
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#6Rivedete la UX lungo tutto il
Customer Journey facendo test sumobile
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SPEED
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SPEEDCHECKLIST
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#1Speed > HTTP/2
Multiplexed resources Browser to ServerPrioritized by type & context Keep-Alive by default
https://developers.google.com/web/fundamentals/performance/http2/
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#2Speed Front-End with Image
Spriting
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#3Gestione dei tag - Use Tag Assistant
extension for Chromehttp://itseo.org/tagasstnt
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#4Usate JSON-LD per i Dati Strutturatihttps://moz.com/blog/using-google-tag-manager-to-dynamically-generate-
schema-org-json-ld-tags
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#6Service Workers - PWA
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CONTESTO
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CONTESTO
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Pensare la Local search solo come MyBusiness potrebbe limitare le
opportunità che le aziende hanno di ottenere visibità e traffico organico.
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GBoard
CONTESTO
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CONTESTO
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PARSING
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SEMANTICA
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@gfiorelli1
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@gfiorelli1
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@gfiorelli1
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RicercaPersonalizzata
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@gfiorelli1
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@gfiorelli1
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PARSINGUNDERSTANDING
RELEVANCYQUALITY
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QUALITY
NON “BEI TESTI”
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QUALITYMA UN MIX DI:
• Coerenza tra pagina e intenzione di ricercatargetizzata
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QUALITYMA UN MIX DI:
• Capacità di offrire rispostealle domande esplicite edesplicite
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QUALITYMA UN MIX DI:
• Facilità d’uso, soprattutto da Mobile
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QUALITY
MA UN MIX DI:
• In un ambiente sicuro
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Video & Immagini
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Uno degli eroi dei miei figli
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1.The average age kids start owning a smartphone is 10.3 years;2.Children from 5 to 13 years old (and also young people up to 20 years old) tend to me more visual than textual;3.Their influence on the buying habits of their parents has been known for many years and, in 2012, it was equal to $1.2 trillion USD in spending.
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Similar items: Rich products feature on
Google Image Search
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Google Lens
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https://www.google.com/intl/en/about/
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Generico (ma non triviale) conoscimento di tutte le discipline del marketing online
TECHNICAL
MARKETERS
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http://safecont.com/
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https://research.google.com/teams/nlu/
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Buyer Persona
KW Research
Top 10 Ranking Sites
* Query Intention
Entity Recognition via CNL API
ThesaurusCreation
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