In the present-day digital landscape, websites have increasingly relied on marketing practices, notably search engine optimization (SEO), as a vital component in promoting sustainable growth. The traffic website receives directly determines its development and success. As such, owners frequently engage services of SEO experts to enhance their website’s visibility increase traffic. These special...

In the light of the need to achieve a ranking which is understood by all tennis supporters, the ATP ranking is exposed to constant complaints from players and at the same time exposes new players to be benefited with a good tournament to be able to start progressing in their careers. Moreover, the ATP ranking is not powerful enough to predict with certainty who will be the winner of a match if ...

The Google search engine has enjoyed huge success with its web page ranking algorithm, which exploits global, rather than local, hyperlink structure of the web using random walks. Here we propose a simple universal ranking algorithm for data lying in the Euclidean space, such as text or image data. The core idea of our method is to rank the data with respect to the intrinsic manifold structure ...

In the realm of web information retrieval, effectiveness ranking algorithms plays a pivotal role in providing accurate and relevant search results. This simulation-based comparative analysis aims to explore performance two prominent algorithms, namely PageRank Weighted Page Ranking, context pages link queries. By leveraging comprehensive dataset comprising links, we conduct meticulous simulatio...

Web search engines have become indispensable in our daily life to help us finding the information we need. Several search tools, for instance Google, use links to select the matching documents against a query. In this paper, we propose a new ranking function that combines content and link rank based on propagation of scores over links. This function propagates scores from source pages to destin...

In the last few years, genome-scale protein networks of an increasing number of organisms have been available across databases. Many techniques have been developed to analyze these large-scale networks for inferring biological knowledge. In this paper, we propose a graph theoretic measure ProtRank, inspired from Pagerank originally introduced for web page ranking, for ranking proteins in a prot...

This working paper reviews some different ideas in link-based analysis for search. First, results about static ranking of web pages based on the so called randomsurfer model are reviewed and presented in a unified framework. Second, a topic-based hubs and authorities model using a discrete component method (a variant of ICA and PCA) is developed, and illustrated on the 500,000 page English lang...

Models such as latent semantic analysis and those based on neural embeddings learn distributed representations of text, and match the query against the document in the latent semantic space. In traditional information retrieval models, on the other hand, terms have discrete or local representations, and the relevance of a document is determined by the exact matches of query terms in the body te...