Peacock is officially available across the US today, but if you want to download it on your Android device, you won't find it by browsing the Google Play Store. Instead, you'll need a direct link to its listing. In what seems to be a blunder, the new Peacock TV app does not appear in Play Store search results, CNET reports. In the weeks leading up to Peacock's launch, NBCUniversal said the new streaming service would be available on its mobile apps and websites -- as well as Android TV and Chromecast, LG and Vizio TVs and PlayStation 4. Peacock is running a promotional deal with Google, in which anyone who subscribes to Peacock's premium tier through a Google platform can unlock an extended free trial. The fact that the app isn't appearing in Play Store search results could hurt Peacock's initial rollout.
Yandex recently announced its new search algorithm Palekh, which improves how Yandex understands the meaning behind every search query by using its deep neural networks as a ranking factor among others. Ultimately, the new algorithm helps Yandex improve its search results across the board but especially for long-tail search queries. As most State of Digital readers know, long-tail search queries are categorized by searches that the search engine very rarely processes. There is a correlation between the rarity of a query and the length of it. Typically, the shorter the query the more common it is and the longer it is the more rare it is.
Iterative deepening search is used in applications where the best cost bound for state-space search is unknown. The iterative deepening process is used to avoid overshooting the appropriate cost bound and doing too much work as a result. However, iterative deepening search also does too much work if the cost bound grows too slowly. This paper proposes a new framework for iterative deepening search called exponential-binary state-space search. The approach interleaves exponential and binary searches to find the desired cost bound, reducing the worst-case overhead from polynomial to logarithmic. Exponential-binary search can be used with bounded depth-first search to improve the worst-case performance of IDA* and with breadth-first heuristic search to improve the worst-case performance of search with inconsistent heuristics.
Google just made search results a lot more useful. The company is giving its mobile search results a new look, with a new set of tabs that show more information about television shows, movies, stocks, and books. SEE ALSO: Google's new Google Maps feature will make parking less of a nightmare Now when you search for a movie or TV show, Google will surface individual tabs that let you browse topics related to the search. This includes trailers, news stories, cast details, showtimes, and critic reviews. Google previously surfaced some of this information, like showtimes, directly in search results, but this is the first time it's all been organized by the type of info, which each type easily accessible with just a tap.
With search engine optimization (SEO) maintaining its presence as one of the most effective marketing techniques on the Internet, it's no wonder that over time, new technical changes in algorithms have made the task of ranking both sites and keywords more difficult to understand and execute. While this used to be an easy task that involved including keywords into the content of your website, Google has continually progressed its ranking technology to provide more quality results to its users. With the launch of RankBrain, Google's new algorithm solution, earlier this year, has it stepped into the field of artificial intelligence? One might think so, as RankBrain queries for so much more than the keywords of the past, taking SEO to the next level. Understanding RankBrain, boils down into recognizing that Google wants to provide users ranking content that is relevant.