With the prevalence of mobile e-commerce nowadays, a new type of recommendation
services, called intent recommendation, is widely used in many mobile e-commerce Apps …

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 …

In the last decade, the importance of analyzing information management systems logs has
grown, because log data constitute a relevant aspect in evaluating the quality of such …

A few years after Google announced that their 'Knowledge Graph'would have allowed
searching for things, not strings, 1 knowledge graphs start entering information retrieval …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Traditionally, machine learning algorithms relied on reliable labels from experts to build
predictions. More recently however, algorithms have been receiving data from the general …

Query auto completion is known to provide poor predictions of the user's query when her
input prefix is very short (eg, one or two characters). In this paper we show that context, such …

Ranking in information retrieval has been traditionally approached as a pursuit of relevant
information, under the assumption that the users' information needs are unambiguously …

Query logs record the queries and the actions of the users of search engines, and as such
they contain valuable information about the interests, the preferences, and the behavior of …

We address the problem of clustering the refinements of a user search query. The clusters
computed by our proposed algorithm can be used to improve the selection and placement of …