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Image Gallery: O Phone 2016



Badass" e-ink O phone by Alter Ego Architects eschews apps

Badass" e-ink O phone by Alter Ego Architects eschews apps

Badass" e-ink O phone by Alter Ego Architects eschews apps

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Using our free SEO "Keyword Suggest" keyword analyzer you can run the keyword analysis "O Phone 2016" in detail. In this section you can find synonyms for the word "O Phone 2016", similar queries, as well as a gallery of images showing the full picture of possible uses for this word (Expressions). In the future, you can use the information to create your website, blog or to start an advertising company. The information is updated once a month.

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Top SEO News (July-August, 2017)

    The Italian authorities fines WhatsApp for $ 3 million euros

    July 11/2017

    The Italian Antimonopoly Authority fined WhatsApp service developers for 3 million euros. This information was reported reported by Reuters.
    According to the agency, WhatsApp imposed conditions on the users that obliged them to agree to data transfer to Facebook parent company. In particular, they were persuaded that without agreeing on this they would not be able to continue using the service.
    The WhatsApp press service commented on this situation the following way: "We are considering this decision and preparing a response to the authorities."
    The supervisory authorities of all EU countries demanded that WhatsApp last year to suspend the transfer of Facebook data because of users’ doubts' in agreeing on the conditions.
    The fact that WhatsApp will open Facebook access to the user base became known in August 2016.

    Google Search Console sends thousands of verification requests to webmasters by mistake

    Aug 14/2017

    The webmasters who work with Google Search Console have been receiving numerous letters from the service in the last two days asking them to confirm the data. In some cases, thousands of such messages are going to inbox.
    Google’s search quality department specialist John Mueller suggested that the problem may be related to the beta version of Search Console, and apologized:
    "I also noticed that it was happening. I think it started yesterday or the day before yesterday. We sorted out the problem together with the Google Search Console team, and, in our opinion, it does not mean that there is something wrong with your websites. It seems that the problem is on our side, we have confused something, I think this is related to the beta version of Search Console. Perhaps there are some processes that need to be re-tested. But this does not mean that you have to make any changes on your websites, or that you have been attacked by hackers, or something like that. I'm embarrassed and apologize for all these messages that dropped to you inbox mails."
    It should be recalled that Google is working on a new version of Search Console, which became known in July. The company officially confirmed this information in early August and shared the details of the two reports for testing. The new Search Console version will not only change the interface, but also make more data available.

    Google ignores canonical links when an error is suspected

    Aug 03/2017

    Google ignores canonical links if it is suspected that an error could have been made during their implementation. This was told by the search representative, John Mueller during the last video meeting with webmasters.
    One of the participants asked Mueller at the meeting:
    "If a large number of canonical links points to the same page, can this lead to some problems with website?"
    Mueller replied the following:
    "No, it is not necessary. The only problematic situation that may occur is when all these pages point to the main page as canonical. In this case, our systems understand that the rel = canonical attribute was wrongly implemented and thus, they ignore this data.
    But if the website contains a large number of pages with the same content (URLs with different parameters, etc.), using the rel = canonical attribute is an ideal option in this situation."
    It should be recalled that earlier this month the Moz founder, Rand Fishkin, prepared a review of the best practices for the URL canonicalization.

    Google Image Search loses market share to Amazon and Facebook

    Aug 14/2017

    The share of Google in the search market grew from 58.84% in October last year to 64.8% in March 2017. At the same time, the share of Google Image Search fell to 21.8% in favor of Amazon and Facebook. This information has come from analysts of the American company Jumpshot in partnership with co-founder Moz Rand Fishkin.
    During the research, they analyzed search data in Google Search, Images, Maps, YouTube, Yahoo, Bing, Amazon, Facebook, Reddit and Wikipedia for the period from October 2016 to May 2017 with a sole purpose to determine the resources that accounted for the largest number of search engines Sessions and traffic.
    Generally, at this period Amazon's share went up from 0.4% to 2.30%, and Facebook's 0.8% to 1.5%. Bing and Yahoo both showed growth of up to 2.4%, while Google Maps was ranked up to 1.2%. The activity of Google Search, Bing, Amazon and Facebook showed growth, while Google Images, YouTube, Yahoo and Google Maps lost their positions.
    The report also included data on search volumes and CTR in the US. The number of search sessions in Google has exceeded 30 billion a month (as of October 2016). By May 2017, the growth trend remained at the level of 10-15% compared to the previous year.
    The results of the organic search in 2016 went down to the bottom. In December they were ranked at 54% (despite the fact that in January and February of the same year their level was at 57% and 56%, respectively, and taking into account the traditional activity stop after the winter holidays).
    November 2016 gave the highest rates of search activity without clicks and was ranked at 45.5%. At the same time, the lowest indicator was in October, which is only 40.3%.
    According to Jumpshot, the largest traffic is generated by Google: about 63% in May 2017, with about 60% in October 2016. During this period, YouTube also showed better results and went up by 0.2%, while Amazon rose by 0.1%. Traffic from Facebook, Yahoo, Reddit, Imgur and Bing almost died, and that’s only Wikipedia that remained at the same level.

    

    Google will keep in secret the number of search quality algorithms

    Aug 14/2017

    How many search quality algorithms does Google use? This question was put to the John Mueller, the company’s employee during the last video conference with webmasters.
    The question was:
    "When you mention Google's quality algorithm, how many algorithms do you use?"
    Mueller responded the following:
    "Usually we do not talk about how many algorithms we use. We publicly state that we have 200 factors when it comes to scanning, indexing and ranking.
    Generally, the number of algorithms is a casual number. For instance, one algorithm can be used to display a letter on the search results page. Therefore, we believe that counting the exact number of algorithms that Google uses is not something that is really useful [for optimizers].
    From this point of view, I can’t tell you how many algorithms are involved in Google search."

    Google intends to improve the interaction of a person with AI

    July 25/2017

    Google announced the launch of a new research project, which goal is to study and improve the interaction between artificial intelligence (AI) and human beings. The phenomenon was named PAIR.
    At the moment, the program involves 12 people who will work together with Google employees in different product groups. The project also involves external experts: Brendan Meade, a professor of Harvard University and, Hol Abelson, a professor of the Massachusetts Institute of Technology.
    The research that will be carried out within the framework of the project is aimed at improving the user interface of "smart" components in Google services.
    Scientists will study the problems affecting all participants in the supply chain: starting from programmers creating algorithms to professionals who use (or will soon be using) specialized AI tools. Google wants to make AI-solutions user-friendly and understandable to them.
    As part of the project, Google also opened the source code for two tools: Facets Overview and Facets Dive. Programmers will be able to check the data sets for machine learning for possible problems using the tools mentioned. For instance, an insufficient sample size.

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