This paper examines a real-time measure of bias in Web search engines. The measure captures the degree to which the distribution of URLs, retrieved in response to a query, deviates from an ideal or fair distribution for that query. This ideal is approximated by the distribution produced by a collection of search engines. Differences between bias and classical retrieval measures are highlighted ...

Search engines maintain large amounts of valuable data, such as web content, user queries, clicks, and browsing trails. This data is fully accessible only to the search engines themselves. Other parties, like users, advertisers, and researches, have very limited access to the data via public interfaces provided by search engines (e.g., the search interface). External techniques for mining searc...

The Internet marks the era of Information revolution. The Internet has been largely dominated by English till recently. The importance of reaching out to non-English speakers around the globe has been felt increasingly and this has lead to the spread of other languages on the Internet. Tamil is the fastest growing language in Internet among the Indian languages. With the number of Tamil website...

In this paper, we will describe an idea and its implementation for an ngram search engine for very large sets of ngrams. The engine supports queries with an arbitrary number of wildcards. It takes a fraction of a second for a search, and can provide the fillers of the wildcards. We implemented the system using two datasets. One is the 1 billion 5-grams provided by Google (Web 1T data), the othe...

Open Data is now collecting attention for innovative service creation, mainly in the area of government, bioscience, and smart X project. However, to promote its application more for consumer services, a search engine for Open Data to know what kind of data are there would be of help. This paper presents a voice assistant which uses Open Data as its knowledge source. It is featured by improveme...

Optimization method for e-learning document search with keywords which are derived from the keywords and descriptions in the meta-tag of web search results together with thesaurus engine is proposed. 15 to 20% of improvement on hit rate of search performance is confirmed with the proposed search engine. KeywordsSearch engine; e-learning content; thesaurus engine.

 Exploring synonyms within large commercial site search engine queries Julia Kiseleva, Andrey Simanovsky HP Laboratories HPL-2011-41 synonym mining, query log analysis We describe results of experiments of extract-ing synonyms from large commercial site search engine query log. Our primary object is product search queries. The resulting dictionary of synonyms can be plugged into a search engin...

There is a growing need for a set of benchmarking tests for measuring search engines, because research on search engine evaluation is inconsistent in methods and approaches. Using these tests researchers can make comparisons between different search engines and carry out longitudinal studies on a particular search engine with a degree of consistency. Several problems emerge during the evaluatio...

We propose a Optimized Personal Search Engine for mobile , that takes the users’ preferences and data in the form of concepts by analyzing their click through data. I give the importance of location information in mobile search, so my Optimized Personal Search Engine classifies these concepts like content concepts and location concepts. In addition, users locations (positioned by GPS) are used ...

Search engines are used to catalog and organize the vast amount of information available on the internet. Engines use linear algebra to match a user query to words within a document, and also use a matrix model of the hyperlink structure of the internet to determine the inherent worth of each page. This ranking is used to organize results when returned to the user.