Media
Scalable Realistic Recommendation Datasets through Fractal Expansions
Belletti, Francois, Lakshmanan, Karthik, Krichene, Walid, Chen, Yi-Fan, Anderson, John
Recommender System research suffers currently from a disconnect between the size of academic data sets and the scale of industrial production systems. In order to bridge that gap we propose to generate more massive user/item interaction data sets by expanding pre-existing public data sets. User/item incidence matrices record interactions between users and items on a given platform as a large sparse matrix whose rows correspond to users and whose columns correspond to items. Our technique expands such matrices to larger numbers of rows (users), columns (items) and non zero values (interactions) while preserving key higher order statistical properties. We adapt the Kronecker Graph Theory to user/item incidence matrices and show that the corresponding fractal expansions preserve the fat-tailed distributions of user engagements, item popularity and singular value spectra of user/item interaction matrices. Preserving such properties is key to building large realistic synthetic data sets which in turn can be employed reliably to benchmark Recommender Systems and the systems employed to train them. We provide algorithms to produce such expansions and apply them to the MovieLens 20 million data set comprising 20 million ratings of 27K movies by 138K users. The resulting expanded data set has 10 billion ratings, 864K items and 2 million users in its smaller version and can be scaled up or down. A larger version features 655 billion ratings, 7 million items and 17 million users.
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems
Burashnikova, Alexandra, Maximov, Yury, Amini, Massih-Reza
In this paper, we propose a robust sequential learning strategy for training large-scale Recommender Systems (RS) over implicit feedback mainly in the form of clicks. Our approach relies on the minimization of a pairwise ranking loss over blocks of consecutive items constituted by a sequence of non-clicked items followed by a clicked one for each user. Parameter updates are discarded if for a given user the number of sequential blocks is below or above some given thresholds estimated over the distribution of the number of blocks in the training set. This is to prevent from an abnormal number of clicks over some targeted items, mainly due to bots; or very few user interactions. Both scenarios affect the decision of RS and imply a shift over the distribution of items that are shown to the users. We provide a theoretical analysis showing that in the case where the ranking loss is convex, the deviation between the loss with respect to the sequence of weights found by the proposed algorithm and its minimum is bounded. Furthermore, experimental results on five large-scale collections demonstrate the efficiency of the proposed algorithm with respect to the state-of-the-art approaches, both regarding different ranking measures and computation time.
Gopher Protocol Completes Phase I in AI Based Robotics Research
Certain statements contained in this press release may constitute "forward-looking statements". Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website (http://www.sec.gov). In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company's ability to raise capital on acceptable terms, if at all, the Company's successful development of its products and the integration into its existing products and the commercial acceptance of the Company's products. The forward-looking statements included in this press release represent the Company's views as of the date of this press release and these views could change.
Samsung Showcases its Latest Products and Connected Solution at Samsung Forum 2019
Samsung Electronics will introduce its new products and solutions to its business partners around the world at Samsung Forum 2019. During the two-month event, strategic products including the 2019 QLED TV lineup as well as customized products for regional markets will be showcased. Based on'New Bixby,' Samsung's intelligence platform, Connected Solution will also be exhibited where global business partners can interact with various Samsung products. Starting with the European Forum, Samsung will invite media and partners from Europe, Southwest Asia and Latin America to Porto of Portugal from February 12th to 22nd. From March 7th to 11th, Samsung will host the Middle East and CIS (Commonwealth of Independent States) Forum in Antalya of Turkey.
Scientists Developed an AI So Advanced They Say It's Too Dangerous to Release
A group of computer scientists once backed by Elon Musk has caused some alarm by developing an advanced artificial intelligence (AI) they say is too dangerous to release to the public. OpenAI, a research non-profit based in San Francisco, says its "chameleon-like" language prediction system, called GPTโ2, will only ever see a limited release in a scaled-down version, due to "concerns about malicious applications of the technology". That's because the computer model, which generates original paragraphs of text based on what it is given to'read', is a little too good at its job. The system devises "synthetic text samples of unprecedented quality" that the researchers say are so advanced and convincing, the AI could be used to create fake news, impersonate people, and abuse or trick people on social media. "GPTโ2 is trained with a simple objective: predict the next word, given all of the previous words within some text," the OpenAI team explains on its blog.
Maintaining American Leadership in Artificial Intelligence?
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AI will be a game change but is business prepared?
Artificial Intelligence is the next key game changer for business, but Irish companies are not as prepared for AI as global business, a new survey has revealed. Almost half of Irish chief executives believe AI will have a bigger impact on the world than the internet revolution, yet half of them are planning AI initiatives in their companies, compared to 77% of chief executives globally. This was one of the key findings of PwC's 2019 Irish CEO survey. "If you look at the global survey, a lot of that awareness or that belief that AI will significantly change how we do business is coming from the US," Feargal O'Rourke, Managing Partner with PwC Ireland, explained. "They are probably just getting an earlier line of sight of the impact of AI, but I think Irish CEOs are certainly waking up to it. Almost two thirds of CEOs believe that it will significantly change how they do business in the next five years, but yet only half of them have plans in place to address this, so there is a bit of a gap there," Mr O'Rourke said.
The future of content is autonomous London Business News Londonlovesbusiness.com
SDL a global leader in content creation, translation and delivery, today calls on brands to rethink current content strategies, and prepare for a digital future where content supply chains are autonomous, machine-first and human optimized, for greater impact with worldwide audiences, across any language and device. Companies are struggling to handle the growing volume and velocity of content required to engage with global audiences. And it's expected to get worse: 93% say the content they produce will increase in the next two years. SDL's Enabling the Future of Content report addresses these challenges, offering insights on how companies can move towards an autonomous content supply chain of the future, capable of delivering any type of content to global audiences. Peggy Chen, CMO, SDL said, "Engaging with customers globally requires content, and lots of it.
PewDiePie enlists Elon Musk to host Meme Review in last ditch effort to beat T-Series
The battle between PewDiePie and T-Series to be the world's most popular YouTube channel has taken a bizarre turn, after billionaire entrepreneur Elon Musk revealed he hosted PewDiePie's'meme review'. PewDiePie, whose real name is Felix Kjelberg, has been the top channel on the world's most popular video-sharing platform since 2013. His dominance has been challenged in recent months by the Indian channel, which posts Bollywood film trailers and music videos. The rise of T-Series has proved controversial within some corners of the YouTube community, seen as a David vs Goliath-style contest between an independent creator and a major corporate brand. For PewDiePie supporters, T-Series' popularity reflects a perceived shift in YouTube's focus towards larger brands that have more potential for generating revenue.
India in for digital transformation: Report
Bangalore: India is on the cusp of a digital transformation, thanks to the spread of high-speed data services. Not just that, as new age technologies like digital, analytics, artificial intelligence (AI), robotics disrupt industry value chains, Indian firms would be at the forefront of driving this change in the global market, says a report. The report by Deloitte predicts that the year 2019 will be the inflection point for conversational AI in India, with voice assistants moving well beyond information access and entertainment in the next two to three years. AI-powered voice assistants could become an important element in home automation, hospitality sector, heath care, potentially progressing to voice-based commerce. "The technology industry in India is in a truly exciting phase right now, unlike any other country at any other point in time. For more than two decades, its technology services industry was at the forefront of driving the technology-enabled transformation of businesses across the world,'' said Hemant Joshi, Leader-Technology, Media & Telecom and Partner, Deloitte India. India's first phase of digital explosion was driven by smart phones and mobile internet penetration. Its next growth phase will be led by mobile-first and voice-first technologies. Original and localised content will play a crucial role in ensuring the faster adoption and wider application of voice technologies, the Deloitte's Predictions Report for 2019 said. Another area that will witness significant growth is financial services technology. The shift in consumer preference towards digital channels for investments and wealth management is steadily rising. While digital investing may increase at varying rates for different asset classes, the facility of immediate service, better discovery of products, and innovations in providing improved customer experience will cause customers to gravitate towards these new-age platforms, found the study. It expects the entertainment industry to reach a high-growth phase this year. Jehil Thakkar, Partner, Deloitte India, said: "This is a good time to be a (content) consumer in the Indian market.