Information Retrieval


A Hidden Instagram Feature Shows Users Time Spent in the App - Search Engine Journal

#artificialintelligence

Instagram is testing a hidden "Usage Insights" feature, which shows users how much time they spend in the app. This feature was discovered by a computer science student who has a history of uncovering new features in Instagram before they're rolled out to the public. All that we have to go on at this time is the screenshot shared by Jade M. Wong, so it's unclear how detailed these insights are. Instagram is testing "Usage Insights" to show the amount of time users have spent on the app Be self-aware or be prepared to be ashamed for Instagram addiction pic.twitter.com/WzyRGWIOgZ It's also unclear whether or not this feature will be widely released, although it's not something that's out of the realm of possibility.


What negative SEO is and is not - Search Engine Land

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Today we are starting a six-part series on Negative SEO. The series will be broken into three areas and will show how negative search engine optimization (SEO) has an effect on links, content and user signals. Positive SEO under this broader view would be any tactic performed with the intent to positively impact rankings for a uniform resource locator (URL), and possibly its host domain, by manipulating a variable within the links, content or user signals areas. Negative SEO would be any tactic performed with the intent to negatively impact rankings for a URL, and possibly its host domain, by manipulating a variable within the links, content or user signal buckets. If you can accidentally hurt your rankings by shifting a variable, then it would logically suggest that an external entity shifting that same variable associated with your site could result in a ranking decrease or outright deindexation.


Search Engine Optimization Tutorial for Beginners

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This course centers around the technical steps you need to take to put your online assets (website, blog site, online store, etc.) in the best possible light in the eyes of search engines, more specifically Google and Bing-Yahoo. This course covers thing you absolutely must do to have even a shot at getting to page one of these search engines organically. I follow these lectures with additional guidance to help you construct and display your web page assets so that they not only pass scrutiny when being crawled by "Spiders" in the service of these search engines, but that they receive high-marks from these activities - which will hep you to place higher in the search engine rankings when organic searches are conducted by the public looking for online information. There are many "website designers" out there today completing sites using templates, widgets, etc. And the whole world is out there using similar keywords and keyword phrases trying to get found.


Information Retrieval System Explained Using Text Mining!

@machinelearnbot

While searching for things over internet, I always wondered, what kind of algorithms might be running behind these search engines which provide us with the most relevant information? How do they decide which result to show for which set of search keywords. This might be a no brainer for a few people, but definitely an interesting problem for some of the best brains around the world. To find the answer, I read every guide, tutorial, learning material that came my way. Information retrieval system is a network of algorithms, which facilitate the search of relevant data / documents as per the user requirement.


New Google AdWords Campaigns Use Machine Learning to Maximize Conversion Value - Search Engine Journal

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Google has introduced new shopping campaigns for AdWords, which utilize automation and machine learning to maximize conversion value. If an advertiser were to define their conversion value as "revenue," for example, then AdWords will automatically optimize the shopping campaign to maximize revenue based on budget constraints. Standard shopping campaigns will continue to be offered along with Google AdWords' new goal-optimized shopping campaigns. Google boasts that the new shopping campaign type "offers a fully-automated solution to drive sales and reach more customers." The new shopping campaigns will be automatically optimized to help marketers achieve their specific goal, whether it's maximizing conversion value or maximizing conversion value at a specific return on ad spend.


Private Sequential Learning

arXiv.org Machine Learning

We formulate a private learning model to study an intrinsic tradeoff between privacy and query complexity in sequential learning. Our model involves a learner who aims to determine a scalar value, $v^*$, by sequentially querying an external database and receiving binary responses. In the meantime, an adversary observes the learner's queries, though not the responses, and tries to infer from them the value of $v^*$. The objective of the learner is to obtain an accurate estimate of $v^*$ using only a small number of queries, while simultaneously protecting her privacy by making $v^*$ provably difficult to learn for the adversary. Our main results provide tight upper and lower bounds on the learner's query complexity as a function of desired levels of privacy and estimation accuracy. We also construct explicit query strategies whose complexity is optimal up to an additive constant.


Add SEO to the List of Everything Being Transformed by Artificial Intelligence

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Understanding SEO is the first rule for being able to optimize your site and its content so that would-be customers can actually find your company online. When your SEO is on point, you are more likely appear in search engine results when someone looks for the type of products or services you sell. However, to be able to truly understand SEO, you need to comprehend how modern search engines work -- and that means understanding artificial intelligence, or AI. AI is a technological advancement that enables a combination of hardware and software to function like a human brain -- minus the inherent flaws in logic and the relatively small memory capacity. It makes it possible to not only analyze large amounts of data but to draw meaningful insights about the information.


Windrush: Home Office to 'learn lessons' through internal review

BBC News

The Home Office is to hold an internal review of its handling of the Windrush scandal, Theresa May has said. She told MPs it would have "full access" to all relevant documents, including policy papers and case files. Her announcement came as Labour prepares to try and force ministers to release all government papers relating to Windrush cases since 2010. Jeremy Corbyn said the crisis had been "made in the Home Office" under Theresa May's leadership. At Prime Minister's Questions, he asked Mrs May whether she "felt a pang of guilt" about the resignation of Amber Rudd over the issue earlier this week.


Presto for Data Scientists – SQL on anything

@machinelearnbot

Initially developed by Facebook, Presto is an open source, distributed ANSI SQL query engine that delivers fast analytic queries against various data sources ranging in size from gigabytes to petabytes. For data scientists, this is ideal for returning Big Data query results in seconds, accelerating the iterative nature of data science discoveries by powering dashboards, reporting and ad-hoc analysis. Presto was designed and built from scratch to be a fast SQL query engine. It follows the classic MPP SQL engine design in which query processing is parallelized over a cluster of machines. As a result, highly concurrent queries execute at interactive speeds.


Reverse image search engines using out of the box machine learning libraries

@machinelearnbot

We propose a simple, robust, and scalable reverse image search engine that leverages convolutional features from Keras' pre-trained neural networks and the distance metric from Scikit-Learn's K-Nearest Neighbors. We show example queries using data scraped from Google images, and dive deeper in how we use the search engine to track the proliferation of memes from the dark web.