Enhanced Search Engine

2013

Searching online has become part of the everyday lives of most people. Whether to look for information about the latest gadget to getting directions to a popular trend, most people have made search engines part of their daily routine. Beyond trivial applications, search engines are increasingly becoming the sole or primary source directing people to essential information. For this reason, search engines occupy “a prominent position in the online world”; they have made it easier for people to find information among the billions of web pages on the Internet. Due to the large number of websites, search engines have the complex task of sorting through the billions of pages and displaying only the most relevant pages in the search engine results page (SERP) for the submitted search query. With the continued growth of the Internet and the amount of websites available, it has become increasingly difficult for sites looking for an audience to achieve visibility. There are millions of new we...

Proceedings of the International Conference on Internet Computing, 2001

It is emerging that it is very difficult for the major search engines to provide a comprehensive and up-to-date search service of the Web. Even the largest search engines index only a small proportion of static Web pages and do not search the Web’s backend databases that are estimated to be 500 times larger than the static Web. The scale of such searching introduces both technical and economic problems. What is more, in many cases users are not able to retrieve the information they desire because of the simple and generic search interface provided by the major search engines. A necessary response to these search problems is the creation of specialized search engines. These search engines search just for information in a particular topic or category on the Web. Such search engines will have smaller and more manageable indexes and have a powerful domainspecific search interface. This paper discusses the issues in this area and gives an overview of the techniques for building specialized search engines.

Recent information of a very different nature has shown the challenge posed by search engines in the internet economy.

Web surfing for various purposes has become a habit of humans. Searching for information from the Internet today has been made easier by the widely available search engines. However, there are many search engines and their number is increasing. It is of considerable importance for the designer to develop quality search engines and for the users to select the most appropriate ones for their use. The Information quality linked through these searches is quite irregular. There are fair chances that the retrieved results are irreverent and belong to an unreliable source. In fact, most search engines are developed mainly for better technical performance and there could be a lack of quality attributes from the customers' perspective. In this paper, we first provide a brief review of the most commonly used search engines, with the focus on existing comparative studies of the search engines. The paper also includes a survey conducted of 137 respondents where the identified user expectations will be of great help not only to the designers for improving the search engines, but also to the users for selecting suitable ones. The objective behind this study was also to find the reason behind poor precision and recall of so many available search engines. The study finally aims to enhance user search experience.

In this paper the IRT project (Internet / Information Retrieval Tools) is described. The basic goal of IRT is to advise users of Internet search engines in retrieving information from the free public access part of the Internet. In achieving this, IRT has developed a model to evaluate search engines. This model is described in here. Evaluation criteria refer to functionality: search options, presentation characteristics and indexing characteristics (which elements of a Web document are indexed?). Also evaluated is the consistency of retrieval through search engines. This model has been tested in the period October-December 1998 on six of the major search engines. We found many differences among Internet indexes in their functionality, as well as in their consistency and reliability.

SIGIR2012 Workshop on Open Source Information Retrieval

Building an efficient and effective search engine requires both science and engineering. In this paper, we discuss the ATIRE search engine developed in our research lab, and both the engineering decisions and research questions that have motivated building ATIRE.

In order to solve the problem of information overkill on the web or large domains, current information retrieval tools especially search engines need to be improved. Much more intelligence should be embedded to search tools to manage the search and filtering processes effectively and present relevant information. As the web swells with more and more data, the predominant way of sifting through all of that data -keyword search -will one day break down in its ability to deliver the exact information people want at our fingertips. Hence search engines are trying to break the shackles of the concept of keyword search what typically most search engines do. This paper tries to identify the major challenges for today's keyword search engines to adapt with the fast growth of web and support comprehensive user demands in quick time. Then it surveys different non-keyword based paradigms proposed, developed or implemented by researchers and different search engines and also classifies those approaches according to the features focused by the different search engines to deliver results.

1997

With the explosive growth of the Web, one of the biggest challenges in exploiting the wealth of available information is to locate the relevant documents. Search engines play a crucial role in addressing this problem by precompiling a large index of available information to quickly produce a set of possibly relevant documents in response to a query. While most Web users make extensive use of the Internet search engines, few people have more than a vague idea of how these systems work.

International Journal of Information Technology and Computer Science, 2016

Past few decades have witnessed an informat ion big bang in the form of World Wide Web leading to gigantic repository of heterogeneous data. A humble journey that started with the network connection between few co mputers at ARPANET p roject has reached to a level wherein almost all the co mputers and other communication devices of the world have joined together to form a huge global in formation network that makes availab le most of the information related to every possible heterogeneous domain. Not only the managing and indexing of th is repository is a big concern but to provide a quick answer to the user's query is also of critical importance. A mazingly, rather miraculously, the task is being done quite efficiently by the current web search engines. This miracle has been possible due to a series of mathematical and technological innovations continuously being carried out in the area of search techniques. This paper takes an overview of search engine evolution from primitive to the present.

Ijca Proceedings on National Workshop Cum Conference on Recent Trends in Mathematics and Computing 2011, 2012

A Web Search Engine maintains and catalogs the content of Web pages in order to make them easier to find and browse. There are many Search Engines which are similar, differentiates from the other by the methods for scouring, storing, and retrieving information from the Web. Usually Search Engines search through Web pages for specified keywords, in response they return a list of containing specified keywords documents. After finding the list of specified keywords documents, list is sorted by relevance criteria which try to put at the very first positions the documents that best match the user's query. The usefulness of a search engine to most people is based on the relevance of results it retrieves from the web. This paper tries to address some issues regarding some of the major challenges faced by Search Engines, since the size of the Web is rapidly growing.