In this paper a system that took 8th place in Million Song Dataset challenge is described. Given full listening history for 1 million of users and half of listening history for 110000 users participatints should predict the missing half. The system proposed here uses memory-based collaborative filtering approach and user-based similarity. MAP@500 score of 0.15037 was achieved.

Current approaches to social search are generally based on the friends’ opinion and collaborative filtering paradigms, which have limited effectiveness in terms of both accuracy and coverage of the information that may be relevant to a user. We propose a new kind of social search signal, based on the idea of prediction extraction, which is aimed at improving the quality of information available...

The aim of this poster is to investigate the role of emotion in the collaborative filtering task. For this purpose, a kernel-based collaborative recommendation technique is used. The experiment is conducted on two MovieLens data sets. The emotional features are extracted from the movie reviews and plot summaries. The results show that emotional features are capable of enhancing recommendation e...

The assessment of online collaborative study presents new opportunities and challenges, both in terms of separating the process and product of collaboration, and in the support of skills development. The purpose of this paper is to explore the role of assessment with respect to the processes and products of online collaborative study. It describes a qualitative case study of staff and students ...

Collaborative filtering recommender systems are typically unable to generate adequate recommendations for newcomers. Empirical evidence suggests that the incorporation of a trust network among the users of a recommender system can significantly help to alleviate this problem. Hence, users are highly encouraged to connect to other users to expand the trust network, but choosing whom to connect t...

Statistically sound validation of results plays an important role in modern data mining. In this context, it has been advocated to disregard patterns that cannot be automatically confirmed as statistically valid by the available data. In this short position paper, we argue against a mandatory automatic significance filtering of results.

We introduce the decomposability spectrum KD = {λ ≥ ω|D is λ-decomposable} of an ultrafilter D, and show that Shelah’s pcf theory influences the possible values KD can take. For example, we show that if a is a set of regular cardinals, μ ∈ pcf a, the ultrafilter D is |a|-complete and KD ⊆ a, then μ ∈ KD. As a consequence, we show that if λ is singular and for some λ < λ KD contains all regular ...

Business process lifecycle management is established for the continuous improvement of business processes within a single enterprise. However, the concept could also be applied to enhance collaborative business processes spanning over multiple enterprises. In contrast to the intra-organizational case, lifecycle management of cross-organizational collaborative processes imposes several organizat...

The paper discusses a transparent and flexible way to disseminate meta information within the global conferenci Examples of such information are ratings for Usenet articles or information about the behavior of other users. In describes how the Usenet "overview'' mechanism was modified to disseminate meta information to off-the-shelf U with the modified overview mechanism are discussed by exampl...

This paper presents the course design titled "Learning Management" of which the goal is to "learn collaborative learning" for a first-year undergraduate student. The objective of the class design is to help transform the student's belief of learning from a passive, individual model to an active, collaborative model which is supported by the concept of "Knowledge Building" or "Constructive Inter...