This paper discusses the problem of evaluating search and recommendation methods in social tagging networks that make use of the network's social structure. While many such methods have recently been introduced, they fall short of evaluating the quality of the results they produce in a systematic way, which is mostly caused by the lack of publicly available test collections
Abstract: Social networks have become an unlimited source of information, for that several applicati...
We investigate a novel perspective to the development of effective algorithms for contact recommenda...
In this chapter we discuss the integration of information retrieval information from two sources-a s...
This paper discusses the problem of evaluating search and recommendation methods in social tagging n...
We consider in this paper top-k query answering in social applica-tions, with a focus on social tagg...
International audienceWe consider in this paper top-k query answering in social applications, with a...
International audienceThe aim of this paper is to present a preliminary work about the enhance of in...
Social tagging networks have become highly popular for publishing and searching contents. Users in s...
Recommender systems (RS) and their scientific approach have become very important because they help ...
Recently, online social networks have emerged that allow people to share their multimedia files, ret...
Social tagging is a widespread activity for indexing user-generated content on Web services. This pa...
Recommender systems have emerged as an essential response to the rapidly growing digital information...
Multiangle social network recommendation algorithms (MSN) and a new assessment method, called simila...
Multiangle social network recommendation algorithms (MSN) and a new assessmentmethod, called similar...
In this paper, we present a tag-based collaborative filter-ing recommendation method for use with re...
Abstract: Social networks have become an unlimited source of information, for that several applicati...
We investigate a novel perspective to the development of effective algorithms for contact recommenda...
In this chapter we discuss the integration of information retrieval information from two sources-a s...
This paper discusses the problem of evaluating search and recommendation methods in social tagging n...
We consider in this paper top-k query answering in social applica-tions, with a focus on social tagg...
International audienceWe consider in this paper top-k query answering in social applications, with a...
International audienceThe aim of this paper is to present a preliminary work about the enhance of in...
Social tagging networks have become highly popular for publishing and searching contents. Users in s...
Recommender systems (RS) and their scientific approach have become very important because they help ...
Recently, online social networks have emerged that allow people to share their multimedia files, ret...
Social tagging is a widespread activity for indexing user-generated content on Web services. This pa...
Recommender systems have emerged as an essential response to the rapidly growing digital information...
Multiangle social network recommendation algorithms (MSN) and a new assessment method, called simila...
Multiangle social network recommendation algorithms (MSN) and a new assessmentmethod, called similar...
In this paper, we present a tag-based collaborative filter-ing recommendation method for use with re...
Abstract: Social networks have become an unlimited source of information, for that several applicati...
We investigate a novel perspective to the development of effective algorithms for contact recommenda...
In this chapter we discuss the integration of information retrieval information from two sources-a s...