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IngaVanArdenn Group

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Christian Morgan
Christian Morgan

F-zero - Search Results Free

MTD(f) was first described in a University of Alberta Technical Report authored by Aske Plaat, Jonathan Schaeffer, Wim Pijls, and Arie de Bruin,[2] which would later receive the ICCA Novag Best Computer Chess Publication award for 1994/1995. The algorithm MTD(f) was created out of a research effort to understand the SSS* algorithm, a best-first search algorithm invented by George Stockman in 1979.[3] SSS* was found to be equivalent to a series of Alpha-beta pruningalpha-beta calls, provided that alpha-beta used storage, such as a transposition table.

f-zero - search results


A "zero-window" search is an alphabeta search whose upper and lower bounds are identical, or differ by one unit, so that the return value is guaranteed to fall outside the bound(s) (or in an exceptionally lucky case, be equal to the bound).

MTD(f) derives its efficiency by only performing zero-window alpha-beta searches, with a previously determined "good" bound (i.e. beta). In MTD(f), AlphaBeta fails high or low, returning a lower bound or an upper bound on the minimax value, respectively. Zero-window calls cause more cutoffs, but return less information - only a bound on the minimax value. To find the minimax value, MTD(f) calls AlphaBeta a number of times, converging towards it and eventually finding the exact value. A transposition table stores and retrieves the previously searched portions of the tree in memory to reduce the overhead of re-exploring parts of the search tree.[4]

Zero-window searches hit a cut-off sooner than wide-window searches. They are therefore more efficient, but, in some sense, also less forgiving, than wide-window searches. However, wider search windows are more forgiving for engines with large odd/even swings and fine-grained evaluation functions. For this reason some chess engines have not switched to MTD(f).

Ideally, your search engine should understand even poorly worded queries and return a good set of results (learn more about improving search results in our Information Architecture course). Realistically, we know this process is sometimes going to break down; you can help users recover by following a few simple guidelines on your No Results page:

Why does this happen? Because users have formed very strong mental models for search due to years of heavy use of the main web-wide search engines. After entering a search query, users have a very strong expectation that they will see a specific layout: a page with some generic heading information at the top, which they can safely skip over to focus on the list of search results in the body of the page.

Most users understand the basics of how to search: first think of a word to describe what you want, next type it in the box, and then press the Search button. But the average person is not very good at more sophisticated search techniques like query refinement. When our users get no results for a query, they need all the help they can get to come up with alternative search strategies, such as: (as shown in the screenshot above) offers most of these options. If users overcome the initial confusion of not understanding why there are no results on this search results page, they stand a good chance of recovering and trying a better query.

Kathryn Whitenton works with clients to evaluate the user experience and information architecture of websites in a variety of industries including technology, telecommunications, and media, as well as corporate intranets. She has conducted usability research, eyetracking user research, and studies of users on mobile devices in the United States, Europe, Asia, and Australia. Her user studies have included general audiences as well as specific consumer types, business segments, children, and seniors.

When the circus fell into financial difficulty, he joined the F-Zero races to use the prize money to save his circus (but not before tripling the results in his own way). However his driving style is rather unusual and he's been known to pull off amazing techniques, though most considered extremely risky. Even more curious is how fickle in races he is, as he will often not take the race seriously or simply drop out. Because of this, he's yet to develop a very good name for himself.

The player may also boost by driving over yellow arrows on the track, however, the effect is much weaker. Also, if the player holds the accelerator around one second before the race starts, they will start near to their max speed. While this is referred to "Boost Fire" (see below) by the narrator, it has little to do with conventional boosting, and results more similar to the Rocket Start from the Mario Kart series. However, pushing the accelerator for too long will result in the announcer saying "Fire", while the thrusters burn in orange flames. This will also give a fast start, but the vehicle will lose the ability to accelerate for a while, leaving it in low speeds for the start of the race unless it crosses over a Dash Plate.

Overall, we observed good removal of rRNA after using the Ribo-Zero Gold Kit as shown by Bioanalyzer profiles in Figure 1. Libraries prepared from RNA treated with a standard Ribo-Zero Kit and the Ribo-Zero Gold Kit showed similar results on analysis of RNA-seq data. As shown in Table 1, the number of reads passing filter and alignable reads for both sets of libraries are within normal limits for Illumina sequencing.

The Ribo-Zero Gold Kit improves RNA-seq results by removing mtrRNA as well as cytoplasmic rRNA, allowing improved mapping of exomic reads. The kit delivers rRNA removal performance comparable to that of the original Ribo-Zero Kits and can be used with intact and degraded RNA. The Ribo-Zero Gold Kit offers a benefit to those researchers who wish to maximize the number of useful RNA-seq reads from total RNA derived from mammalian cells. Ribo-Zero Gold Kits for other organisms are under development.

In June 2019, the clickstream analysis service Jumpshot (which has since been shut down following controversy over data use and privacy) published its latest analysis of desktop and mobile zero click searches on in the US. The results can be summarized as follows:

What this means is that more than half of all searches now generate no traffic for third-party websites outside Google services. In the US in particular, the number of zero click searches was found to have risen steadily over the past few years:

According to the Searchmetrics SERP Features Monitor, in 36.6 percent of all Google desktop searches in Germany in March 2020, the results included a Knowledge Panel above or beside the organic search results; the corresponding figure in the US was 10.1.

With, SEOs and webmasters can embed mark-ups for structured data into their websites. In doing so, they are making it easier for search engine crawlers to transform content into machine-readable data. By defining what sentence is best suited as an answer for the Voice Assistant to read out in response to a search query or what the most important questions and answers are for a given topic, webmasters are helping search engines provide more precise information and improve the level of detail in what are mammoth databases.

The SEO community is somewhat divided over how to respond to this increasing trend toward zero click searches. Websites are losing organic traffic to Google & Co., whose growing number of SERP features are helping them earn on traffic, either through ads or through direct conversions in the form of hotel and flight bookings, for instance.

Google is now showing zero search results for some types of specific use cases. Zero results search results pages are search results where there is simply an answer in the answer box / featured snippet style, with zero organic search results on the page.

We do know that Google monitors their tests, so it is very likely that if they do see many people clicking the results link that Google would end up returning the search results to those pages. There are also feedback links at the bottom of the pages for those who would like to submit feedback.

It is a type of query I have done recently in a couple different use cases. On Sunday I searched to ensure that my phone did in fact automatically change for daylight savings, since I had a flight to catch and needed to be certain. I really just needed to confirm the time, and Google gave me the answer I was looking for.

In "Less Than Half of Google Searches Now Result in a Click" by SparkToro, they claimed that only 45.25% of Google searches resulted in a click in 2019. The remaining 54.75% either ended with no clicks at all or with an ad click.

Sparktoro followed up their previous article with another study: "In 2020, Two-Thirds of Google Searches Ended Without a Click" discusses the continued rise of zero-click searches. According to their study, 64.82% of Google searches resulted in zero-clicks. The remaining resulted in either organic clicks or paid clicks.

In 2021, Google and some members of the SEO community claimed that Sparktoro's claims are misleading. They argued that Sparktoro's report lacked context, such as how more people are relying on mobile to perform search.

Jennifer Hood, a professional statistician, also determined that the both the 2019 and 2021 SparkToro research reached a flawed conclusion because they suffered from the availability bias, or the availability heuristic.

List type results can appear as a numbered list or bulleted lists depending on the search query. List type snippets typically appear for search results such as lists, recipes, ingredient lists, or step-by-step tutorial instruction lists.

For audiences, this means that the webpage contains the most relevant information based on their search query. Appearing in a featured snippet result provides an immediate credibility boost for the brand and the website.

Despite the inherent achievement, appearing as a featured snippet upends traditional SEO and the potential loss of site visits is not always viewed as an advantage. The following steps for an updated SEO strategy can help overcome perceived drawbacks, while taking full advantage of the potential of zero-click searches. 041b061a72


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