Search Results

Online social media platforms such as YouTube have a wide, global reach. However, little is known about the experience of low-resourced language speakers on such platforms; especially in how they experience and navigate harmful content. To better ...

Introduced by Microsoft in February 2023, Bing Chat is a feature of the Bing search engine that integrates an OpenAI large language model (LLM) customised for search (Mehdi, 2023a). This poster compares the outputs of Bing Chat and a standard ...

Search engines are crucial for information gathering systems (IGS). New challenges face search engines concerning automatic learning from user requests. In this paper, a new hybrid intelligent system is proposed to enhance the search process. Based on ...

The growing amount of available data in the biomedical domain turns out to be beneficial for decision-making, but a sufficiently accurate DR system is required. Plenty of NLP techniques and models have been proposed for semantic similarity in DR, but ...

Exploring large news collections created by media outlets with traditional search engines is impractical for demanding users. We propose a temporal exploration tool that aims to facilitate the consultation of news collections. We concentrated our ...

Search engines are among the most popular web services on the World Wide Web. They facilitate the process of finding information using a query-result mechanism. However, results returned by search engines contain a lot of duplications. For ...

The main challenge to effective information retrieval is to optimize the page ranking in order to retrieve relevant documents for user queries. In this article, a method is proposed which uses hybrid of genetic algorithms GA and trust for generating the ...

We investigate how children in grades 6 and 8 (ages 11 and 13, respectively) read search engine results pages (SERPs) in the context of searching Google. We use eye‐tracking to detect children's reading of SERPs, and the effect of grade level ...

This paper illustrated the difficulties facing e-publishing over cloud computing pertaining to social network service for scientists from three axioms: the life cycle of the research document, an explanation of what a researcher juggles during the ...

In this paper novel method is proposed using hybrid of Genetic Algorithm GA and Back Propagation BP Artificial Neural Network ANN for learning of classification of user queries to cluster for effective Personalized Web Search. The GA-BP ANN has been ...

This paper presents a novel approach to recognize research trends in a particular domain of research (i.e. Agent development) that is based on the number of data extracted from search engines. Several well-known mathematical and statistical theories ...

We introduce the Relevance Assessment Tool RAT, which allows researchers to design complex search engine retrieval effectiveness studies. This Web-based tool consists of different modules that researchers can use to design tests, to collect results from ...

The ease and convenience of Web-based search engines has fundamentally changed information gathering and use and given rise to tangible and significant effects in the way we form impressions of others. This study explores how the quantity of relevant ...

Search engine optimization (SEO) is the process of improving the visibility, volume and quality of traffic to website or a web page in search engines via the natural search results. SEO can also target other areas of a search, including image search and ...

In this paper, the authors propose a Semantic Search Engine, which retrieves software components precisely and uses techniques to store these components in a database, such as ontology technology. The engine uses semantic query language to retrieve ...

In this paper, the need for the right information for patients with chronic diseases is elaborated, followed by some scenarios of how the semantic web can be utilised to retrieve useful and precise information by stakeholders. In previous work, the ...

As web contents grow, the importance of search engines become more critical and at the same time user satisfaction decreases. Query recommendation is a new approach to improve search results in web. In this paper a method is proposed that, given a query ...

Cloud computing has become a hot topic for both industrial and academic communities in the last couple of years. However, there has been no study that tried to develop search engines which are specialized for discovering Cloud service. Hence, this paper ...

In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than ...

Today's search engines are still very sensitive to the way queries are constructed. In some occasions, equivalent but slightly different forms of a query lead to completely different results. However, popular queries with only one right answer seem to ...