Held for the first time in conjunction with the ACM International Conference on Information and Knowledge Management (CIKM), NWSearch 2015 aims to bring together researchers, developers and practitioners who are interested in pushing the search boundary ...

Collaborative Information Seeking/Retrieval (CIS/CIR) has given rise to several challenges in terms of search behavior analysis, retrieval model formalization as well as interface design. However, the major issue of evaluation in CIS/CIR is still ...

The amount of structured content published on the Web has been growing rapidly, making it possible to address increasingly complex information access tasks. Recent years have witnessed the emergence of large scale human-curated knowledge bases as well ...

Urban Informatics aims to exploit the large quantities of information produced by modern cities in order to gain insights into how they function. These insights lay the foundation for improving the lives of citizens, by improving the efficacy and ...

The growth of the Web and other Big Data sources lead to important performance problems for large-scale and distributed information retrieval systems. The scalability and efficiency of such information retrieval systems have an impact on their ...

The PIKM workshop offers Ph.D. students the opportunity to bring their work to an international and interdisciplinary research community, and create a network of young researchers to exchange and develop new and promising ideas. Similar to the CIKM, the ...

In this paper, we propose the first real time rumor debunking algorithm for Twitter. We use cues from 'wisdom of the crowds', that is, the aggregate 'common sense' and investigative journalism of Twitter users. We concentrate on identification of a ...

News-casters are Twitter users who periodically pick up interesting news from online news media and spread it to their followers' network. Existing works on Twitter user analysis have only analysed a pre-defined set of users for user modeling, influence ...

We present Coclus, a novel diagonal co-clustering algorithm which is able to effectively co-cluster binary or contingency matrices by directly maximizing an adapted version of the modularity measure traditionally used for networks. While some effective ...

This paper proposes a neural language model to capture the interaction of text units of different levels, i.e.., documents, paragraphs, sentences, words in an hierarchical structure. At each paralleled level, the model incorporates Markov property while ...

User profiling is a key component of personalized recommender systems, and is used to generate user profiles that describe individual user interests and preferences. The increasing availability of big data is driving the urgent need for user profiling ...

k-nearest neighbor (k-NN) search aims at finding k points nearest to a query point in a given dataset. k-NN search is important in various applications, but it becomes extremely expensive in a high-dimensional large dataset. To address this performance ...

In this paper, we present a novel solution to multi-view clustering through a structured low-rank representation. When assuming similar samples can be linearly reconstructed by each other, the resulting representational matrix reflects the cluster ...

Update summarization aims to generate brief summaries of recent documents to capture new information different from earlier documents. In this paper, we propose a new method to generate the sentence similarity graph using a novel similarity measure ...

Manually inspecting text to assess whether an event occurs in a document collection is an onerous and time consuming task. Although a manual inspection to discard the false events would increase the precision of automatically detected sets of events, it ...

Microblogs contain the most up-to-date and abundant opinion information on current events. Aspect-based opinion mining is a good way to get a comprehensive summarization of events. The most popular aspect based opinion mining models are used in the field ...

We study the fundamental problem of finding the set of top-k edge colors that maximizes the reliability between a source node and a destination node in an uncertain and edge-colored graph. Our top-k reliable color set problem naturally arises in a ...

Similarity measures have been used widely in information retrieval research. Most research has been done on query-document or document-document similarity without much attention to the user's perception of similarity in the context of the information ...

Question answering (QA) over a large-scale knowledge base (KB) such as Freebase is an important natural language processing application. There are linguistically oriented semantic parsing techniques and machine learning motivated statistical methods. ...

LinkedIn has grown to become a platform hosting diverse sources of information ranging from member profiles, jobs, professional groups, slideshows etc. Given the existence of multiple sources, when a member issues a query like "software engineer", the ...