Twing

Last updated

Twing.com was a search engine before the end of 2008 specializing in internet forum content, located in Jersey City, New Jersey, with data centers around the world. Twing.com used vertical searching as a forum search service that seeks out communities based on common forum formats. The product disappeared from the Web in late November, 2008, [1] when the product division's parent company Accoona ceased business operations.

Contents

Twing.com did not use the typical web crawler method but recognizes the footprint and structure of forum content and indexes such content according to its context, and then allows for word sense disambiguation of concepts through use of topical category and other filters.

Additionally, prior to ceasing operations, Twing.com began collecting and indexing content from Twitter and other real-time user generated content sources.

Content disambiguation

To allow for disambiguation, Twing.com is utilizing interface concepts such as Faceted Search and Filtering in the Search Engine Result Pages, (SERPs). These are advanced search methods [2] that attempt to assist users with their information foraging efforts by keeping them on an information scent trail. [3]

Category filters, based on the directory taxonomy, are one of the filtering methods available. This is an attempt to solve the generalized search problem of ambiguity that often occurs in search results as well as forum search results. A good example might be the word "bass." If you do a search for bass on Wikipedia, you get a disambiguation page to determine if the phrase in this case means a musical instrument, a company name, part of a place name, a beverage, and other options. While adding key terms to a search may sometimes collapse ambiguities, doing so can also exclude things of value. So category filters can help solve the problem of ambiguity in search engine results, whether such search engines are forum search specific or not. Additional filters are available based on language entity extraction from content and proprietary algorithms and dictionaries. Twing.com's use of such technology is discernible from seeing the filters available within the search results pages.

Forum content collection

The Twing.com robot, (called Twingbot), was designed to understand the formats of Internet Forums, (a.k.a. Bulletin Boards or Discussion Groups.) While the Twing.com product was open to the world in January, 2008, the Twingbot robot had been observed 'in the wild' at least several months earlier. (The Twingbot robot had identified itself as User-Agent: Twingbot/1.0 and formerly had its own descriptive web page at www.twingbot.com/)

See also

Related Research Articles

<span class="mw-page-title-main">Google Search</span> Search engine from Google

Google Search is a search engine operated by Google. It allows users to search for information on the Internet by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide.

Meta elements are tags used in HTML and XHTML documents to provide structured metadata about a Web page. They are part of a web page's head section. Multiple Meta elements with different attributes can be used on the same page. Meta elements can be used to specify page description, keywords and any other metadata not provided through the other head elements and attributes.

Spamdexing is the deliberate manipulation of search engine indexes. It involves a number of methods, such as link building and repeating unrelated phrases, to manipulate the relevance or prominence of resources indexed in a manner inconsistent with the purpose of the indexing system.

Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. SEO targets unpaid traffic rather than direct traffic or paid traffic. Unpaid traffic may originate from different kinds of searches, including image search, video search, academic search, news search, and industry-specific vertical search engines.

Social software, also known as social apps or social platform includes communications and interactive tools that are often based on the Internet. Communication tools typically handle capturing, storing and presenting communication, usually written but increasingly including audio and video as well. Interactive tools handle mediated interactions between a pair or group of users. They focus on establishing and maintaining a connection among users, facilitating the mechanics of conversation and talk. Social software generally refers to software that makes collaborative behaviour, the organisation and moulding of communities, self-expression, social interaction and feedback possible for individuals. Another element of the existing definition of social software is that it allows for the structured mediation of opinion between people, in a centralized or self-regulating manner. The most improved area for social software is that Web 2.0 applications can all promote co-operation between people and the creation of online communities more than ever before. The opportunities offered by social software are instant connections and opportunities to learn.An additional defining feature of social software is that apart from interaction and collaboration, it aggregates the collective behaviour of its users, allowing not only crowds to learn from an individual but individuals to learn from the crowds as well. Hence, the interactions enabled by social software can be one-to-one, one-to-many, or many-to-many.

<span class="mw-page-title-main">Googlebot</span> Web crawler used by Google

Googlebot is the web crawler software used by Google that collects documents from the web to build a searchable index for the Google Search engine. Googlebot was created to function concurrently on thousands of machines in order to enhance its performance and adapt to the expanding size of the internet. This name is actually used to refer to two different types of web crawlers: a desktop crawler and a mobile crawler.

<span class="mw-page-title-main">Metasearch engine</span> Online information retrieval tool

A metasearch engine is an online information retrieval tool that uses the data of a web search engine to produce its own results. Metasearch engines take input from a user and immediately query search engines for results. Sufficient data is gathered, ranked, and presented to the users.

Findability is the ease with which information contained on a website can be found, both from outside the website and by users already on the website. Although findability has relevance outside the World Wide Web, the term is usually used in that context. Most relevant websites do not come up in the top results because designers and engineers do not cater to the way ranking algorithms work currently. Its importance can be determined from the first law of e-commerce, which states "If the user can’t find the product, the user can’t buy the product." As of December 2014, out of 10.3 billion monthly Google searches by Internet users in the United States, an estimated 78% are made to research products and services online.

In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases.

A video search engine is a web-based search engine which crawls the web for video content. Some video search engines parse externally hosted content while others allow content to be uploaded and hosted on their own servers. Some engines also allow users to search by video format type and by length of the clip. The video search results are usually accompanied by a thumbnail view of the video.

In blogging, a ping is an XML-RPC-based push mechanism by which a weblog notifies a server that its content has been updated. An XML-RPC signal is sent from the weblog to one or more Ping servers, as specified by originating weblog), to notify a list of their "Services" of new content on the weblog.

<span class="mw-page-title-main">Search engine</span> Software system that is designed to search for information on the World Wide Web

A search engine is a software system that finds web pages that match a web search. It searches the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a line of results, often referred to as search engine results pages (SERPs). The information may be a mix of hyperlinks to web pages, images, videos, infographics, articles, and other types of files. As of January 2022, Google is by far the world's most used search engine, with a market share of 90.6%, and the world's other most used search engines were Bing, Yahoo!, Baidu, Yandex, and DuckDuckGo.

In Internet marketing, search advertising is a method of placing online advertisements on web pages that show results from search engine queries. Through the same search-engine advertising services, ads can also be placed on Web pages with other published content.

<span class="mw-page-title-main">Geotargeting</span> Website content based on a visitors location

In geomarketing and internet marketing, geotargeting is the method of delivering different content to visitors based on their geolocation. This includes country, region/state, city, metro code/zip code, organization, IP address, ISP, or other criteria. A common usage of geotargeting is found in online advertising, as well as internet television with sites such as iPlayer and Hulu. In these circumstances, content is often restricted to users geolocated in specific countries; this approach serves as a means of implementing digital rights management. Use of proxy servers and virtual private networks may give a false location.

Discoverability is the degree to which something, especially a piece of content or information, can be found in a search of a file, database, or other information system. Discoverability is a concern in library and information science, many aspects of digital media, software and web development, and in marketing, since products and services cannot be used if people cannot find it or do not understand what it can be used for.

Yandex Search is a search engine. It is owned by Yandex, based in Russia. In January 2015, Yandex Search generated 51.2% of all of the search traffic in Russia according to LiveInternet.

Content writing services is a category of work that first surfaced in the early 1990s, due to an exponential rise in online activities. Content writing services are firms, companies or group of writers that provide services such as blog writing for websites, web content writing, marketing material content, white papers, research articles, proof reading services, infographic content, social media content, press releases, product descriptions, copywriting services, proofreading and editing and many more.

RankBrain is a machine learning-based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. It helps Google to process search results and provide more relevant search results for users. In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm, along with links and content. As of 2015, "RankBrain was used for less than 15% of queries." The results show that RankBrain produces results that are well within 10% of the Google search engine engineer team.

User intent, otherwise known as query intent or search intent, is the identification and categorization of what a user online intended or wanted to find when they typed their search terms into an online web search engine for the purpose of search engine optimisation or conversion rate optimisation. Examples of user intent are fact-checking, comparison shopping or navigating to other websites.

Local search engine optimization is similar to (national) SEO in that it is also a process affecting the visibility of a website or a web page in a web search engine's unpaid results often referred to as "natural", "organic", or "earned" results. In general, the higher ranked on the search results page and more frequently a site appears in the search results list, the more visitors it will receive from the search engine's users; these visitors can then be converted into customers. Local SEO, however, differs in that it is focused on optimizing a business's online presence so that its web pages will be displayed by search engines when users enter local searches for its products or services. Ranking for local search involves a similar process to general SEO but includes some specific elements to rank a business for local search.

References

  1. Arrington, Michael (2 December 2008). "Twing: Accoona's Final Disgrace". TechCrunch .
  2. Turbek, Stephen (2008-01-16). "Advancing Advanced Search". bozesandarrows. Retrieved 2008-02-01.
  3. Pirolli, Peter (2007). Information Foraging Theory. Adaptive Interaction with Information. Oxford. ISBN   978-0-19-517332-1.