I-book.in is a search engine that indexes IPFs links. Here you can search for the e-book you want to read.
Reading: 176 2020-03-26
Bookmark Earth, China's first browser bookmark search engine platform. Provide browser bookmark sharing, online creation, downloading, etc., making bookmarks come to life, the best browser bookmark sharing platform in the country The inspiration for bookmarking Earth comes from Zhihu. When the designer was browsing a resource related post and saw a friend share their browser check out, they thought of creating a platform for sharing browser bookmarks. Browser bookmarks generally organize websites that everyone finds useful, and are usually categorized and organized accordingly. If we follow this reasoning, our bookmarks are also likely to be useful to others. This type of product currently has almost no competitors on the entire network, and the designers are not sure if it will be accepted by everyone. It can be considered a bold attempt.
Reading: 34560 2020-07-23
TG Meow Telegram (TG) Chinese search engine and Telegram resource search tool provide you with millions of Telegram resources for searching, and have optimized algorithms for Telegram Chinese search Perhaps the most user-friendly Telegram Chinese search engine currently available
Reading: 590 2023-02-20
Guided by search and artificial intelligence, based on personalized matching of crawler technology and intelligent algorithms, one-stop search for relevant video content on the Internet has brought users a quick and convenient video search experience.
Reading: 158 2019-05-20
Sou.xxmd.com is a professional aggregate search engine platform. Some commonly used search engines (such as: picture search engine, comprehensive search engine, movie search engine, novel search engine, music search engine, book search engine, academic search engine, academic search engineThe integration of academic aggregation search, etc.) The integration of it, which greatly facilitates users to view and use.
Reading: 75 2023-09-05
The Internet's leading alternative network search engine, your first choice outside Google, Bing and Yandex. At Entireweb. com, our mission is to help businesses and websites increase their online visibility and reach a wider audience. We strive to provide high-quality search results and offer a range of online marketing services to help businesses effectively promote their products and services online. Our goal is to become a comprehensive and reliable source of search and online marketing solutions, helping our clients succeed in their online efforts. Overview of the entire webpage Entireweb. com is a search engine and online marketing platform that has been helping businesses and websites increase their online visibility since 1999. Entireweb.com focuses on providing high-quality search results and has become a popular choice for users looking for relevant and reliable information online. One of the main features of Entireweb. com is its advanced search algorithm, which provides accurate and up-to-date results for a variety of queries. Whether you are looking for information on a specific topic, product, or content type, Entireweb.com can quickly and efficiently provide relevant results. In addition to its search function, Entireweb.com also offers a range of online marketing services to help businesses and websites reach a wider audience. From search engine optimization (SEO) and pay per click (PPC) advertising to social media marketing and email marketing, Entireweb. com has a variety of tools and resources to help businesses effectively promote their products and services online. Overall, Entireweb.com is a comprehensive and reliable source of search and online marketing solutions. Whether you are searching for information or promoting your business online, Entireweb.com is a valuable resource that you can utilize. Company Structure Entireweb is a trademark of Entireweb Sweden AB, a privately-owned for-profit company located in Halmstad, Sweden. Entireweb Sweden, founded in 1999, is committed to providing the most advanced search technology for the Internet and intranet environment. Search engine is a tool that allows users to find information on the Internet. Search engines use algorithms to search billions of web pages and rank them based on their relevance to specific search queries. When a user inputs a search query to a search engine, the search engine returns a list of web pages related to the query. Types of search engines There are many different types of search engines, including web search engines, image search engines, video search engines, and news search engines. Web search engines are the most common type, which allow users to search for information on the Internet using keywords or phrases. Image search engines allow users to search for images based on keywords or phrases, while video search engines allow users to search for videos. News search engines allow users to search for news articles based on keywords or phrases. technology Search engines use various techniques to find and arrange web pages. One of the most important techniques is to use keywords. When creating a webpage, the creator can include keywords in the webpage content and HTML code describing the webpage. These keywords help search engines understand the content of the page and determine its relevance to specific search queries. In addition to keywords, search engines can also use other factors to rank web pages, such as the number of other websites linked to the page and the relevance of these websites. This is what is called link analysis. Search engines use algorithms to process and analyze the data they collect from the Internet, and these algorithms are constantly updated to improve the accuracy and relevance of search results. Therefore, even if the search query is the same, the search results that users see may vary depending on the search. conclusion In general, search engines play a vital role in helping users find information on the Internet. By providing a method of searching billions of web pages and ranking them based on relevance, search engines make it easier for users to find the information they need.
Reading: 73 2019-03-27
AMiner was established by the Department of Computer Science and Technology at Tsinghua University, which includes over 320 million academic papers/patents and a technology map of 133 million scholars. It provides scientific and technological intelligence services such as academic search, paper search, recommended subscriptions, paper patents, scholar portraits, literature tracking, trend analysis, etc. It is an academic and technological intelligence big data mining and service system platform with completely independent intellectual property rights in China. AMiner (aminar. org) aims to provide comprehensive search and mining services for researchers on social networks. In this system, our focus is on: (1) creating a semantic based archive for each researcher by extracting information from the distributed network; (2) Integrate academic data from multiple sources (such as bibliographic data and researcher profiles); (3) Accurately search heterogeneous networks; (4) Analyze and discover interesting patterns from established researcher social networks. The main search and analysis functions in AMiner include: Overview search: Enter the researcher's name (e.g. Tang Jie), and the system will return a semantic based overview created for the researcher using information extraction techniques. On the personal profile page, the extracted and integrated information includes: contact information, photos, citation statistics, academic achievement evaluation, (tense) research interests, educational history, personal social graph, research funding (currently only available in US and CN), publication records (including citation information, papers automatically assigned to several different domains). Experts have found that when entering a query (such as data mining), the system will return experts for that topic. In addition, the system will recommend top conferences and ranked papers on the topic. There are two ranking algorithms, VSM and ACT. The former is similar to traditional language models, while the latter is based on our Author Conference Topic (ACT) model. Users can also provide feedback on search results. Conference analysis: Enter a conference name (e.g. KDD), and the system returns who is the most active researcher at the conference, as well as the top ranked papers. Course search: Enter a query (such as data mining), and the system will tell you who is teaching courses related to the query. Subgraph search: Enter a query (e.g. data mining), and the system first tells you which topics are relevant to the query (e.g. five topics "Data Mining", "XML Data", "Data Mining/Query Processing", "Web Data/Database Design", "Web Mining" are relevant), then displays the most important subgraphs found on each related topic and adds a summary of the subgraphs. Theme Browser: Based on our Author Conference Theme (ACT) model, we automatically discover 200 popular topics from publications. For each topic, we will automatically assign a label to represent its meaning. Furthermore, the browser displays the most active researchers, the most relevant conferences/papers, and discovers the evolving trends of topics. Academic ranking: We have defined 8 metrics to evaluate the achievements of researchers. The measurement criteria include "h-index", "citation", "upward trend", "activity level", "lifespan", "diversity", "social ability", and "rising star". For each metric, we output a ranking list for different domains. For example, you can search for who has the most citations in the field of "data mining". User management: You can register as a user to: (1) modify extracted profile information; (2) Provide feedback on search results; (3) Track researchers in Miner; (4) Create an AMiner page (which can be used to promote confs/workshops or enrollment). AMiner.org has been running on the Internet for more than three years. At present, the academic network includes over 6000 conferences, 3200000 publications, and 700000 researcher profiles. The system has attracted users from over 200 countries and receives more than 200000 access logs per day. The top five countries from which users come are the United States, China, Germany, India, and the United Kingdom.
Reading: 52 2019-03-27
Dongni - Deep thinking AI multimodal search engine, leader in multimodal GPT pre trained large models and human-computer interaction technology.
Reading: 39 2023-07-22
、Amazon.com)以使用类似的网站搜索。看看我们新的姐妹网站:SimilarStores和TopWordsLike。
Reading: 20 2019-03-27