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Processing short texts is becoming a trend in information retrieval. Since the text has rarely external information, it is more challenging than document. In this paper, keyword clustering is studied for automatic categorization. To obtain semantic similarity of the keywords, a broad-coverage lexical resource WordNet
quality of information retrieval. The contributions of our research are twofold. First, the existing ranking algorithms of search engine are classified. And we extend expression of queries by “keyword and ”, instead of keywords only. Second, a new ranking algorithm based on user feedback and semantic tags is
This paper presents an attempt to show the efficiency of some search engines in dealing with Arabic keywords. This can be achieved by comparing the number of retrieved pages, retrieving time, and stability (in both the number of retrieved pages and the order for each retrieved page) for each one of the selected 20
With the rapid rise in the number of weblogs, or blogs, on the World Wide Web (WWW), there is a growing need to be able to quickly search for discussion on specific topics. While keyword searches using tools such as Google or Technorati can yield useful results, we run into the problem of having to enter
Sponsored Search allows companies to place text advertisements for selected keywords on Search Engine Results Pages (SERPs). The objective of the present research is to determine whether and under what circumstances it makes sense, in economic terms, for brand owners to pay for sponsored search ads for their brand
With the increasing number of Web documents in the Internet, the most popular keyword-matching-based search engines, such as Google, often return a long list of search results ranked based on their relevance and importance to the query. To cluster the search engine results can help users find the results in several
Keyword-based search engines often return an unexpected number of results. Zero hits are naturally undesirable, while too many hits are likely to be overwhelming and of low precision. We present an approach for predicting the number of hits for a given set of query terms. Using word frequencies derived from a large
This paper is aimed to identify and explain the limitations and the problems of Arabic texts retrieving in the general search engines, and we have made many experiences on Arabic documents from the Lebanese official journal. In our approach, we have used three "keyword matching" Arabic search engines: Google, Yahoo
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
In recent years, the listing service is widely used in search site such as Yahoo!, Google, and MSN. In the list service, Advertising rate and advertising order are decided by the auction that is called Generalized Second Price Auction (GSP). There are a lot of researches on GSP. However, in those researches, the advertisement is mutually independent. Additionally, the value of advertisement is not...
According to the report of the world Travel & Tourism Council in 2007, half of the American travelers make their accommodations reservations through the internet. Therefore, the rankings in the search engine results become more important. In order to understand the feasibility of applying the techniques of search engine optimization (SEO) to tourism industry as well as its influences and marketing...
search the Web effectively. In this paper, we present a QS module, denoted CQS, which assists children in finding appropriate query keywords to capture their information needs by (i) analyzing content written for/by children, (ii) examining phrases and other metadata extracted from reputable (children's) websites, and (iii
Most researches on Image Retrieval (IR) have aimed at clearing away noisy images and allowing users to search only acceptable images for a target object specified by its object-name. We have become able to get enough acceptable images of a target object just by submitting its object-name to a conventional keyword
commercial web search engines, a large fraction of returned images is not related to the query keyword. We present a SVM based active learning approach to selecting relevant images from noisy image search results. The resulting database is more diverse with more sample images, compared with other well established facial
(timestamp). Given the huge web as a temporal data collection, in this paper, we introduce a framework based on our current work. The main task is to find the association between two topics in different time slots (durations). Given a keyword as the main topic, we expect to find three kinds of topics which are relevant to the
the correct answer among their top 10 search results. Internet's redundancy of information and the recent proliferation of user generated content helps search engines to remain almost entirely keyword oriented and still robustly handle equivalent versions of queries. In this paper we propose a family of metrics to
retrieve the maximal set of relevant and quality page. In our proposed approach, we calculate the unvisited URL score based on its Anchor text relevancy, its description in Google search engine and calculate the similarity score of description with topic keywords, cohesive text similarity with topic keywords and Relevancy
framework, selected keywords, composed the keywords into composite index, found a strong correlation, and finally a result of prediction sales was given in the end of the paper.
Tagging refers to the metadata that many users added in the form of keywords on photos, videos, and other resources for sharing the contents via the internet. However, there are several difficulties with tagging that come from tag variation, tag ambiguity and flat organization. This paper presents the integration of
In order to study the retrieval precision of network information and solve the problems existed in search engines this paper analyzes problems and precision in the information retrieval according to experimental data such as image retrieval with different retrieval keywords, and puts forward a new construction of
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