The internet of things provides a convenient life for all us. Physical devices with locational systems connected to the can provide navigation and recommendation services in cooperation Location Based Services (LBS). nearest neighbor query is most common type LBS research area. On other hand, due privacy protection or inaccuracies measurement instructions, data uncertainties are typical IoT env...

Diversity in a recommendation list has been recognized as one of the key factors to increase user’s satisfaction when interacting with a recommender system. Analogously to the modelling and exploitation of query intent in Information Retrieval adopted to improve diversity in search results, in this paper we focus on eliciting and using the profile of a user which is in turn exploited to represe...

The CS OER Portal was created with the goal of improving the findability and increasing the use of open educational resources in Computer Science. In this paper we describe the portal’s design principles which exploit the domain specificity of the hosted content and are focused on enhancing the search and navigation in the portal. Distinctive retrieval features are the proposed topical recommen...

This paper presents an approach to exploit free text descriptions of TV programmes as available from EPG data sets for a TV recommendation system that takes the content of programmes into account1. The paper focusses on the natural language understanding problem underlying the analysis of free text descriptions and on methods of classifying free text descriptions in relation to a natural langua...

We focus on Maximum Inner Product Search (MIPS), which is an essential problem in many machine learning communities. Given a query, MIPS finds the most similar items with maximum inner products. Methods for Nearest Neighbor (NNS) usually defined metric space do not exhibit satisfactory performance since product non-metric function. However, products good properties compared functions, such as a...

Term suggestion or recommendation modules can help users to formulate their queries by mapping their personal vocabularies onto the specialized vocabulary of a digital library. While we examined actual user queries of the social sciences digital library Sowiport we could see that nearly one third of the users were explicitly looking for author names rather than terms. Common term recommenders n...

Integrated access to multiple distributed and autonomous RDF data sources is a key challenge for many semantic web applications. As a reaction to this challenge, SPARQL, the W3C Recommendation for an RDF query language, supports querying of multiple RDF graphs. However, the current standard does not provide transparent query federation, which makes query formulation hard and lengthy. Furthermor...

“No matching product found” is an undesirable message for the user of an online product finder application or interactive recommender system. Query Relaxation is an approach to recovery from such retrieval failures and works by eliminating individual parts of the original query in order to find products that satisfy as many of the user’s constraints as possible. In this paper, new techniques fo...