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Keywords has played a very important role in business competition for companies in E-commerce platform such as Taobao, Paipai and so on. Companies need to choose suitable keywords to describe their product efficiently. Base on analyzing consumer online shopping decision making stages and the role of different types of
In recent years, especially audiovisual media have become the predominant media of the internet. To enable content based video retrieval, high quality textual metadata have to be provided that describe the content. Keyword-based search in general is particularly applicable if the searcher really knows what she is
With the rapid development of information technology, search engine optimization (SEO) technology has attracted more and more attentions. In order to improve their website visit quantity, SEO techniques can make a better ranking in the search result using the keyword selection and deployment, high quality back links
A quantum neural network classifier is presented, which can classify chinese Web information into each subject. Based on this quantum neural network classifier, a framework of chinese Web information navigation is proposed. We choose keywords of Web document as inputs of quantum neural network classifier, and choose
In search engine advertising, the right selection of keywords is one of the most important step to maximize the advertisers' profitability. Keyword suggestion methodologies are used to map the advertisers selection of keywords and the recent popular queries using statistical data. In this project we are trying to
and learn an arbitrary concept by using most of the current search engines, because they provide a list of results according to the input keywords. The proposed approach represents the various relationships between arbitrary concepts as an outline. For example, it is assumed that a user wants information related to an
offer today. In fact, it does not differ much from what everyone had a decade ago. That is keyword-search (exact substring match) is often the only way to find needle in a haystack in most modern word processors and text corpora search engines. Here we demonstrate ReadFast — a system, capable to extract certain
-independent approach of extracting news stories from web pages is proposed which is based on anchor text and is applicable to most websites. Experiments show our approach performs good and is better than another approach we have found. Second, a domain-based method of representing events is proposed in which hundreds of keywords
In Digital Library (DL) system, users interact with the system to search for books or research papers. Users can search through metadata or search for information in the pages by querying using keywords. In both cases, a huge amount of results are returned; however, the relevant ones to the user are not often amongst
This paper introduces an application developed with FAO Agrovoc ontology and Google AJAX API. FAO Agrovoc ontology is not only an agricultural concepts collection but also the relationships among the concepts, Google API can be used to submit keywords to Google search engine and get the retrieval results from Google
related query strings to Web contents. Since the search queries in the community are keywords related to information and knowledge of interest within the community, this navigation reflects implicit knowledge in the community. It is useful especially for community members who are not proficient in search. Such users can
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.