As one of the key members on the Demand Intelligence team that is part of AI group, you'll take ownership of the design and implementation of Course Hero's consumer-facing search. The key objective of the AI Group is to build a Semantic Knowledge Graph at Course Hero in order to help personalize bespoke learning experiences for students and help educators create unique course content. The charter for the Demand Intelligence team is to focus on delivering value to students and educators by enabling search intelligence and demand-side data products. This team will be building a Semantic Search engine using NLP and ML driven search mechanisms for the long-tail distribution and consumption of our document corpus. This also includes building user cohorts, an inference engine to infer intent, behavior, usage, trends, and economic demand curves powering content discovery and recommendations, pricing, and other applied data science initiatives.

This is a visualization of global internet attacks, seen during the 4th China Internet Security Conference in Beijing. Microsoft's Bing search engine is no longer accessible in China, the company reports. This is a visualization of global internet attacks, seen during the 4th China Internet Security Conference in Beijing. Microsoft's Bing search engine is no longer accessible in China, the company reports. The Microsoft search engine, Bing, appears to have been blocked in China since Wednesday.

Gone are the days of low-quality ghostwriting as a means of rapidly producing new blog articles for the sake of "content freshness." Additionally, SEOs can no longer rely upon re-purposing information otherwise found online (especially without citing one's sources) as an effective and sustainable content strategy. To succeed in this new landscape, SEOs must learn how Google has changed the rules regarding content quality and authority and what steps website owners must take to ensure they're seen as trustworthy. As Director of SEO for Path Interactive, Lily Ray has spent months studying the changes and understanding the impacts the updates around authority have had on client sites. She'll be sharing her insights, as well as offering tips for surviving and thriving in this new era of search quality at SMX West in San Jose on January 30th. I asked Lily to describe what you should focus on and what really matters for SEO success in today's algorithmically-driven yet human-mediated ranking environment.

Google is giving all advertisers the ability to run 15-second non-skippable video ads. Previously, these ads were only available to select advertisers through YouTube reservation, which is similar to Google Preferred. Google is bringing the 15-second non-skippable video ad format from YouTube over to Google Ads and Display and Video 360. Recognizing that advertisers should have access to the full range of creative options regardless of how they buy – whether in advance via reservation or in the Google Ads auction." The ads will be displayed across YouTube and Google video ad partners.

Let's face it – generating traffic from search engines is hard work. It is much easier to buy traffic. But we all know that organic traffic converts better so this is usually the primary goal for online marketers. So, naturally, everybody's question is: how to improve SEO ranking for your website? I've put together 7 helpful tips to do exactly that, let's take a look at them one by one.

Most of the efficient sublinear-time indexing algorithms for the high-dimensional nearest neighbor search problem (NNS) are based on space partitions of the ambient space $\mathbb{R}^d$. Inspired by recent theoretical work on NNS for general metric spaces [Andoni, Naor, Nikolov, Razenshteyn, Waingarten STOC 2018, FOCS 2018], we develop a new framework for constructing such partitions that reduces the problem to balanced graph partitioning followed by supervised classification. We instantiate this general approach with the KaHIP graph partitioner [Sanders, Schulz SEA 2013] and neural networks, respectively, to obtain a new partitioning procedure called Neural Locality-Sensitive Hashing (Neural LSH). On several standard benchmarks for NNS, our experiments show that the partitions found by Neural LSH consistently outperform partitions found by quantization- and tree-based methods.

BEIJING - The Microsoft-run search engine Bing was unavailable in mainland China late Wednesday, raising concerns among some social media users that it could be the latest foreign website to be blocked by censors. It is not clear whether Bing has joined China's long list of prohibited websites or if its China service is experiencing technical difficulties. Facebook, Twitter and a host of Western media websites are blocked in China. While its rival Google shut down its search engine in China in 2010, Bing has continued to operate in the country along with Microsoft-owned Skype. On Weibo, China's Twitter-like social media site, people complained about the lack of access, with some speculating that Bing too had been "walled off.

One of the challenges in large-scale information retrieval (IR) is to develop fine-grained and domain-specific methods to answer natural language questions. Despite the availability of numerous sources and datasets for answer retrieval, Question Answering (QA) remains a challenging problem due to the difficulty of the question understanding and answer extraction tasks. One of the promising tracks investigated in QA is to map new questions to formerly answered questions that are `similar'. In this paper, we propose a novel QA approach based on Recognizing Question Entailment (RQE) and we describe the QA system and resources that we built and evaluated on real medical questions. First, we compare machine learning and deep learning methods for RQE using different kinds of datasets, including textual inference, question similarity and entailment in both the open and clinical domains. Second, we combine IR models with the best RQE method to select entailed questions and rank the retrieved answers. To study the end-to-end QA approach, we built the MedQuAD collection of 47,457 question-answer pairs from trusted medical sources, that we introduce and share in the scope of this paper. Following the evaluation process used in TREC 2017 LiveQA, we find that our approach exceeds the best results of the medical task with a 29.8% increase over the best official score. The evaluation results also support the relevance of question entailment for QA and highlight the effectiveness of combining IR and RQE for future QA efforts. Our findings also show that relying on a restricted set of reliable answer sources can bring a substantial improvement in medical QA.

With video streaming services and social media platforms reporting large amounts of traffic, videos are slowly but surely moving front and center as the most popular form of online content. Plus, they are made more accessible by the widespread use of mobile devices and the growing average speed of Internet connectivity. Look no further than sites like Twitch and YouTube to understand how powerful videos can be at keeping people glued to their screens. As a matter of fact, according to YouTube, U.S. residents aged 18-34 watch more videos on mobile devices than they do on any TV broadcast or cable network. Bearing this in mind, performing video optimization has never been as important as it is today. To get more eyeballs looking at your videos, you must do your best to ensure that people can find your videos online and that they choose to watch your video over the vast pool of competition -- something that was covered in the YouTube SEO 101 post. Getting yourself noticed on YouTube can be quite a daunting challenge, but in this post, we've rounded up some of the best tools that can help you optimize your YouTube videos for SEO. Without further ado, let's get started! One of the most crucial parts of producing videos is getting everything ready even before the camera starts rolling.

Twitter has released a new, free resource to help guide marketers' social media strategies in 2019. The 2019 Twitter marketing calendar identifies highly anticipated events that will unfold throughout the year. In addition, Twitter estimates the number of Tweet impressions each of the events are expected to reach, based on internal data. Everything from Valentine's Day to Talk Like a Pirate Day is contained in the calendar. Here's an example of what it looks like: Marketers can use this information to capitalize on unique, once-a-year, opportunities to boost their reach.