Its venerable phone line wasn't the only newly minted product Apple showed off at the iPhone 8 event on Tuesday. Eddie Cue announced onstage that the company will expand availability of its TV app to seven new countries by the end of the year and will be adding local news and sports programming as well. The TV app will be available in Australia and Canada next month, the spread to Germany, France, Sweden, Norway and the UK by the end of the year. US sports fans (that is, those that live in the country), will be able to track their favorite teams and have Apple TV push an on-screen notification whenever a game starts. By the end of the year, Apple also announced that users will be able to ask Siri directly to switch to a game.
Current recommender systems exploit user and item similarities by collaborative filtering. Some advanced methods also consider the temporal evolution of item ratings as a global background process. However, all prior methods disregard the individual evolution of a user's experience level and how this is expressed in the user's writing in a review community. In this paper, we model the joint evolution of user experience, interest in specific item facets, writing style, and rating behavior. This way we can generate individual recommendations that take into account the user's maturity level (e.g., recommending art movies rather than blockbusters for a cinematography expert). As only item ratings and review texts are observables, we capture the user's experience and interests in a latent model learned from her reviews, vocabulary and writing style. We develop a generative HMM-LDA model to trace user evolution, where the Hidden Markov Model (HMM) traces her latent experience progressing over time -- with solely user reviews and ratings as observables over time. The facets of a user's interest are drawn from a Latent Dirichlet Allocation (LDA) model derived from her reviews, as a function of her (again latent) experience level. In experiments with five real-world datasets, we show that our model improves the rating prediction over state-of-the-art baselines, by a substantial margin. We also show, in a use-case study, that our model performs well in the assessment of user experience levels.
Funny artificial intelligence is nothing new. We might be used to Siri's bad jokes on our iPhones or messing with Amazon's Alexa. And recently an AI robot Sophia tried out a pickup line on Charlie Rose on 60 Minutes last week. Now Google has joined the trend of human-like artificial intelligence to make AI a little more fun. Its new assistant was developed in part by comedy writers from Pixar and The Onion, the satirical newspaper that is sometimes just too honest for these crazy times we live in, according to The Wall Street Journal.
Looking to drum up consumer excitement, the tech company hosted an event in San Francisco on Tuesday to unveil a series of products, including two new phones, a virtual reality headset and the Chromecast Ultra. The flagship announcement was the introduction of Pixel, the first Google phone to carry exclusively Google branding. The company called it the "first phone made by Google inside and out." The device is poised to take on the iPhone with a built-in artificially intelligent assistant, 4K video and other bells and whistles. Here's a closer look at everything you need to know: Google (GOOG) announced a new Pixel line of phones -- the 5-inch Pixel ( 649) and 5.5-inch Pixel XL ( 769).