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. C4.5 algorithm is adopted to analyze the main factor infecting the competition result of keywords and predict their competition from historical SEO data. A website editing system is authored in which backward spider and text extraction technology is utilized to collect information. In this case, real-time SEO factor
In recent years, the Internet of Things (IoT) has become a hot research issue and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the search engine community. In this paper, we analyze the challenges in the IoT search engine technology and
Nowadays the existing search engines are always lack of the consideration of personalization. They display the same search results for different users despite their differences in interesting and purpose. In order to solve this problem, this paper introduces a new method of using keyword query series to express the
the retrieved information has huge variation and mobile terminal has small area for displaying them. Therefore, we aim to develop technologies for the users to input their requests by familiar way and clarify what they want to know with displaying the retrieved information with suitable method.
Search on the web is a delay process and it can be hard task especially for beginners when they attempt to use a keyword query language. Beginner (inexpert) searchers commonly attempt to find information with ambiguous queries. These ambiguous queries make the search engine returns irrelevant results. This work aims
The speedy evolution in web environment and progression in technology have led us to access and manage tremendous images easily in various areas. Current internet image search engines purely trust on the text based information around the images. Keywords supplied by user can not specify content of images exactly
automatic transcription of a spoken document using a speech recognizer. The difficult point of this task is that the automatic transcription contains many recognition errors, therefore we cannot trust keywords extracted from the automatic transcription using conventional method such as tfmiddotidf. To solve this problem, we
Users normally facing difficulties to expresses their information needs into a query format that the search system can use to process. Therefore users frequently modify their query with intention to retrieve better results. The goal of this experiment is to compare the precision of the retrieved results by employing
technology, our method resolves the encrypted index table maintenance issue when medical data are deleted. The experimental results show that the overhead of our solution is small compared to indexing and search times of traditional search engines. The security analysis shows that our solution assures data confidentiality and
. They waited and passively weighted users' feedback in page ranking to try to improve the precision of searching. Previous studies on Web information retrieval show that the average error ratios are over 20%. In this paper, we base on a heuristic from the librarian to present an interactive information retrieval technology
With the development of Internet, network has become a important platform for information publishment and communications. However, there are tremendous resources in the network, thus it's very difficult for users to find the wanted resources. Search engine can help them find the related information. When users input
information just searching search engine like Google and Baidu with keywords and browseWeb pages selecting useful information, people want to get interested knowledge continuously through pushing technology. Recommendation is of great significance in knowledge discovery. Recommender systems typically produce a list of
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.