relevance and ad hoc search. We compare classical IR with social book search in the context of the LibraryThing discussion forums where members ask for book suggestions. This paper is an compressed version of [2].

of traditional and user-generated book metadata in retrieval. We extended last year’s investigation into the nature of book sugges-tions from the LibraryThing forums and how they compare to book rele-vance judgements. Participants were encouraged to incorporate rich user profiles of both topic creators and other

of traditional and user-generated book metadata in retrieval. We consolidated last year's investigation into the nature of book suggestions from the LibraryThing forums and how they compare to book relevance judgements. Participants were encouraged to incorporate rich user profiles of both topic creators

. We compare classical IR with social book search in the context of the LibraryThing discussion forums where members ask for book suggestions. Specifically, we compare book suggestions on the forum with Mechanical Turk judgements on topical relevance and recommendation, both the judgements directly

Abstract. In this paper, we describe text mining approaches dedicated to the classification track in Social Book Search Track Lab 2016. This track aims to exploit social knowledge extracted from LibraryThing and Reddit collections to identify which threads on online forums are book search requests

Abstract. Online book discussion forums provide rich information on how readers think about and describe books, how books are related to other books and how people search for and recommend books. Within the Social Book Search (SBS) Lab at CLEF we analyse book search requests on the LibraryThing

of traditional and user-generated book metadata in retrieval. We extended last year’s investigation into the nature of book suggestions from the LibraryThing forums and how they compare to book relevance judgements. Participants were encouraged to incorporate rich user profiles of both topic creators and other

Abstract. In this paper we describe our participation in the INEX 2013 Social Book Search Track. We compare the impact of different query representations for book search topics derived from the LibraryThing discussion forums, including the title and full narrative provided by the topic creator

are important steps in the process of solving complex search tasks within online reader communities. We prepared two data collections for the classification task: posts from the LibraryThing (LT) forum and a smaller number of posts from Reddit. For the linking task we used annotated LT threads. We found

This research introduces state-of-the-art techniques in the areas of online libraries, communities, and forums. The research endeavours to describe a computer system called DesignMap that could be categorized as a visual design forum.This system encourages networking and can also be applied as a