Today search engines constitute the most powerful tools for organizing and extracting information from the Web. However, it is not uncommon that even the most renowned search engines return result sets including many pages that are definitely useless for the user. This is mainly due to the fact that the very basic relevance criterions underlying their information retrieval strategies rely on th...

Identifying key information from complex networks is of great practical significance for discovering the community structure. How to effectively use node connections in network and attribute a major challenge current detection problem networks. A graph convolutional based on personalized web page ranking algorithm proposed this paper. First, uses strong characteristics convolution integrating t...

We explore the relationship between official rankings of professional tennis players and rankings computed using a variant of the PageRank algorithm as proposed by Radicchi in 2011. We show Radicchi’s equations follow a natural interpretation of the PageRank algorithm and present up-to-date comparisons of official rankings with PageRankbased rankings for both the Association of Tennis Professio...

The majority of algorithms proposed in recommender systems literature has focused on improving recommendation accuracy, other important aspects of recommendation quality, the diversity of recommendations, have often been overlooked. Number of item ranking techniques that can generate substantially more diverse recommendations across all users while maintaining comparable levels of recommendatio...

Search result visualization is a task performed by search engines that enables users to find their desired documents, in an effective and efficient manner. Image based summary or best images of a web document, displayed as a part of the visualization process, has become indispensable, as a human perceives images instantaneously. But, selection of the best image increases latency in search resul...

This year, we participated in the Web Track in addition to the Robust Track. We submitted results on both topic distillation and home page/named page finding tasks. As our time and human resources were limited for taking two tasks simultaneously, in this task we only concentrate on testing our ranking function discovery technique, ARRANGER (Automatic Rendering of RANking functions by GEnetic pR...

Many different ranking algorithms based on content and context have been used in web search engines to find pages based on a user query. Furthermore, to achieve better performance some new solutions combine different algorithms. In this paper we use simulated click-through data to learn how to combine many content and context features of web pages. This method is simple and practical to use wit...

Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about multi-agent systems. When the set of agents and the set of alternatives coincide, we get the ranking systems setting. A famous type of ranking systems are page ranking systems in the context of search engines. In this paper we pre...

for years, search engines have been considered as one of the most frequently used information seeking tools through the web. efficiency, ease of use and search quality are the main factors for giving precedence over search engines. search quality is assessed based on the concept of page rank which is applied to scoring web documents. the structures designed for linkage among the pages of a site...

The premise of this paper is to scroll the various search engine optimization techniques which are used in solving problems associated while finding relevant information related to specific topic across the Internet. While carrying this review work the authors concentrated on various published research papers and finally concluded that Query Clustering, Sequential Pattern Mining and Page Rankin...