ADCS

Searching is inherently an interactive process usually requiring a number of queries to be submitted and a number of documents to be assessed in order to find the desired amount of relevant information. While numerous models of search have been proposed,...

Using eye tracking in the evaluation of web search interfaces can provide rich information on users' information search behaviour, particularly in the matter of user interaction with different informative components on a search results screen. One of ...

This paper describes a new method of indexing and searching large binary signature collections to efficiently find similar signatures, addressing the scalability problem in signature search. Signatures offer efficient computation with acceptable measure ...

Enterprise query auto-completion (QAC) can allow website or intranet visitors to satisfy a need more efficiently than traditional searching and browsing. The limited scope of an enterprise makes it possible to satisfy a high proportion of information ...

Monitoring social media in critical disaster situations can potentially assist emergency and media personnel to deal with events as they unfold, and focus their resources where they are most needed. We address the issue of filtering massive amounts of ...

How influential is the Australian Document Computing Symposium (ADCS)? What do ADCS articles speak about and who cites them? Who is the ADCS community and how has it evolved?

This paper considers eighteen years of ADCS, investigating both the conference ...

Effective enterprise search must draw on a number of sources---for example web pages, telephone directories, and databases. Doing this means we need a way to make a single sorted list from results of very different types.

Many merging algorithms have ...

Measurement of graph centrality provides us with an indication of the importance or popularity of each vertex in a graph. When dealing with graphs that are not centrally controlled (such as the Web, social networks and academic citation graphs), ...

Web search services process thousands of queries per second, and filter their answers from collections containing very large amounts of data. Fast response to queries is a critical service expectation. The well-known WAND processing strategy is one way ...

Statistical methods for text classification are predominantly based on the paradigm of class-based learning that associates class variables with features, discarding the instances of data after model training. This results in efficient models, but ...

Web search tools are used on a daily basis by billions of people. The commercial providers of these services spend large amounts of money measuring their own effectiveness and benchmarking against their competitors; nothing less than their corporate ...

Analysis of Collocation is targeted for Natural Language Processing (NLP). From a linguistic perspective, collocation provides us with a way to place words close together in a natural manner. By this approach, we can examine deep structure of semantics ...

Nosocomial infections (NIs, any infection that a patient contracts in a healthcare institution) cost 100, 000 lives and five billion dollars per year for 300 million Americans alone. Surveillance in hospitals holds the potential of reducing NI rates by ...

Thread retrieval is an essential tool in knowledge-based forums. However, forum content quality varies from excellent to mediocre and spam; thus, search methods should find not only relevant threads but also those with high quality content. Some studies ...

In this paper we discuss some of the document encoding errors that were found when scaling our indexer and search engine up to large collections crawled from the web, such as ClueWeb09. In this paper we describe the encoding errors, what effect they ...

More and more crisis managers, crisis communicators and laypeople use Twitter and other social media to provide or seek crisis information. In this paper, we focus on retrospective conversion of human-safety related data to crisis management knowledge. ...

This paper proposes a document distance-based approach to automatically expand the number of available relevance judgements when those are limited and reduced to only positive judgements. This may happen, for example, when the only available judgements ...

Previous work has examined space saving and throughput increasing techniques for long postings lists in an inverted file search engine. In this contribution we show that highly sporadic terms (terms that occur in 1 or 2 documents) are a high proportion ...