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We show how the arithmetic structure of the set of borders (periods) of a word can be used to substantially reduce complexity of an interesting problem in combinatorics on words. A word w is a bordered word if it has a non-empty proper border (a ...$$${}^{\mathrm{}}$${}^{\mathrm{}}$${}^{\mathrm{}}$

Due to over-abundant information on the Web, information filtering becomes a key task for online users to obtain relevant suggestions and how to extract the most related item is always a key topic for researchers in various fields. In this paper, ...

Source code examples are key resources for software developers to learn application programming interfaces (APIs) and to understand corresponding usage patterns. Developers usually have to utilise, evaluate and understand code examples from multiple ...

In real-time bidding advertising (RTB), the buyers bid for individual advertisement impressions provided by publishers in real time. The final goal of the buyers is to maximize the return on their investment. To gain higher returns, buyers prefer to ...

Motivated by online advertisement and exchange settings, greedy randomized algorithms for the maximum matching problem have been studied, in which the algorithm makes (random) decisions that are essentially oblivious to the input graph. Any greedy ...

This paper aims to explore an analytical methodology to identify, quantify, and assess the interdependencies across Defence capability development projects, products and programs. To represent the service complexities of project/product ...

This paper addresses the use of Open Data business licence records in the course of local web search. It assesses the feasibility of increasing the search ranking of authorised service providers and rank reduction or removal of providers with an invalid ...

Route instructions for pedestrians are usually better understood if they include references to landmarks, and moreover, these landmarks should be as salient as possible. In this paper, we present an approach for automatically deriving a mathematical ...

The importance of support centers continues to increase. They enhance user satisfaction by accurately answering user questions and increase user satisfaction in products or services. The responses required by support centers are handled by hand. However,...

Search engines have greatly influenced the way people access information on the Internet, as such engines provide the preferred entry point to billions of pages on the Web. Therefore, highly ranked Web pages generally have higher visibility to people ...

Many Web queries contain both textual keywords and location words. When answering such queries, the association between the textual keywords and locations in a Web page should be taken into account. In this paper, we present a new ranking algorithm for ...

Learning-to-rank for information retrieval has gained increasing interest in recent years. Inspired by the success of sparse models, we consider the problem of sparse learning-to-rank, where the learned ranking models are constrained to be with only a ...

In the Internet era the information overload and the challenge to detect quality content has raised the issue of how to rank both resources and users in online communities. In this paper we develop a general ranking method that can simultaneously ...

Seeking drug-related information is one of the top activities of today's online health consumers. To facilitate consumers' access to trustworthy drug information, we first improve the drug search effectiveness by adding a list of rich and up-to-date ...

With ample options of service providers available today in mobile communications; it is necessary for the service providers (SP)to retain their customer base by enhancing user experience. We believe that personalization and prediction of user needs is a ...

Due to the revolutionary development of Web 2.0 technology, individual users have become major contributors of Web content in online social media. In light of the growing activities, how to measure a user’s influence to other users in online social ...

This paper presents Latent Association Analysis (LAA), a generative model that analyzes the topics within two document sets simultaneously, as well as the correlations between the two topic structures, by considering the semantic associations among ...

It is fundamental and important task to extract keyword form documents. Existing methods mainly use statistical or linguistic information to extract the most salient keyword from document. However, those methods ignore the relationship between different ...

We present a new framework for multimedia content analysis and retrieval which consists of two independent algorithms. First, we propose a new semi-supervised algorithm called ranking with Local Regression and Global Alignment (LRGA) to learn a robust ...

Recently, uploading photos and adding identity tags on social network services are prevalent. Although some researchers have considered leveraging context to facilitate the process of tagging, these approaches still rely mainly on face recognition ...