Knowledge organization systems such as thesauri or taxonomies are increasingly being expressed using the Simple Knowledge Organization System (SKOS) and published as structured data on the Web. Search engines can exploit these vocabularies and improve ...

Assessing the quality of information on the Web is a challenging issue for at least two reasons. First, as a decentralized data publishing platform in which anyone can share nearly anything, the Web has no inherent quality control mechanisms to ensure ...

The significant increase in content of online social media such as product reviews, blogs, forums etc., have led to an increasing attention to sentiment analysis tools and approaches that make use of mining this substantially growing content. The aim of ...

One of the main differences between traditional Web analysis and online Social Networks (OSNs) studies, is that in the first case the information is organized around content, while in the second case it is organized around people. While search engines ...

Although there are numerous websites that provide recommendation services for various items such as movies, music, and books, most of studies on recommender systems only focus on one specific item type. As recommender sites expand to cover several types ...

Efforts have been made to obtain more accurate results for multimedia searches on the Web. Nevertheless, not all multimedia objects have related text descriptions available. This makes bridging the semantic gap more difficult. Approaches that combine ...

We propose the methods for document, query and relevance model expansion that leverage geographical metadata provided by social media. In particular, we propose a geographically-aware extension of the LDA topic model and utilize the resulting topics and ...

Mobile query classification faces the usual challenges of encountering short and noisy queries as in web search. However, the task of mobile query classification is made difficult by the presence of more inter-active and personalized queries like map, ...

BrowseRank algorithm and its modifications are based on analyzing users' browsing trails. Our paper proposes a new method for computing page importance using a more realistic and effective search-aware model of user browsing behavior than the one used ...

Click-through rate (CTR) prediction and relevance ranking are two fundamental problems in web advertising. In this study, we address the problem of modeling the relationship between CTR and relevance for sponsored search. We used normalized relevance ...

Click prediction for sponsored search is an important problem for commercial search engines. Good click prediction algorithm greatly affects on the revenue of the search engine, user experience and brings more clicks to landing pages of advertisers. ...

The features available in Twitter provide meaningful information that can be harvested to provide a ranked list of followees to each user. We hypothesize that retweet and mention features can be further enriched by incorporating both temporal and ...

In this submission, we describe the Linked Services Infrastructure (LSI). It uses Semantic Web Service technology to map individual concepts (identified by Linked Data URIs) to sets of online media content aggegrated from heterogeneous Web APIs. It ...