Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Relevance is the most important factor to assure users' satisfaction in search and the
success of a search engine heavily depends on its performance on relevance. It has been …

As digitalization is gradually transforming reality into Big Data, Web search engines and
recommender systems are fundamental user experience interfaces to make the generated …

In this paper we study a large query log of more than twenty million queries with the goal of
extracting the semantic relations that are implicitly captured in the actions of users submitting …

Let U be a set of elements and da distance function defined among them. Let NN k (u) be the
k elements in U-{u\} having the smallest distance to u. The k-nearest neighbor graph (k nng) …

Web usage mining is a main research area in Web mining focused on learning about Web
users and their interactions with Web sites. Main challenges in Web usage mining are the …

Proximity searching consists in retrieving from a database, objects that are close to a query.
For this type of searching problem, the most general model is the metric space, where …

In this paper we present a new document representation model based on implicit user
feedback obtained from search engine queries. The main objective of this model is to …

In this paper, we present a framework for clustering Web search engine queries whose aim
is to identify groups of queries used to search for similar information on the Web. The …

Server logs of search engines store traces of queries submitted by users, which include
queries themselves along with Web pages selected in their answers. Here we describe …