Moving towards Adaptive Search in Digital Libraries

Kruschwitz, Udo; Albakour, M-Dyaa; Niu, Jinzhong; Leveling, Johannes; Nanas, Nikolaos; Kim, Yunhyong; Song, Dawei; Fasli, Maria; Roeck, Anne De

doi:10.1007/978-3-642-23160-5_4

Cited by 8 publications

(7 citation statements)

References 46 publications

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“…We conclude that the suggestions derived from either log‐based or document‐based approaches are complementary (in those cases where they are judged relevant by the users). This is in line with findings from similar experiments conducted on digital libraries (Kruschwitz et al., ).…”

Section: Discussionsupporting

confidence: 92%

“…Looking at query suggestion methods that work effectively outside the general web domain is now becoming more popular (e.g., Al Hasan, Parikh, Singh, & Sundaresan, ). Our earlier studies with individual methods for extracting query suggestions have shown promising results (e.g., Albakour, Kruschwitz ; Dignum et al., ; Kruschwitz et al., ). In this study, we investigate a more comprehensive list of different methods in a more systematic way.…”

Section: Related Workmentioning

confidence: 99%

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Deriving query suggestions for site search

Kruschwitz

Lungley

Albakour

et al. 2013

J Am Soc Inf Sci Tec

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Modern search engines have been moving away from very simplistic interfaces that aimed at satisfying a user's need with a single-shot query. Interactive features such as query suggestions and faceted search are now integral parts of Web search engines. Generating good query modification suggestions or alternative queries to assist a searcher remains however a challenging issue. Query log analysis is one of the major strands of work in this direction. While much research has been performed on query logs collected on the Web as a whole, query log analysis to enhance search on smaller and more focused collections has attracted less attention, despite its increasing practical importance. In this paper, we report on a systematic study on different query modification methods applied to a substantial query log collected on a local Web site that already employs an interactive search engine. The purpose of the analysis is to explore different methods for exploiting the query logs to derive new query modification suggestions. We conducted experiments in which we asked users to assess the relevance of potential query modification suggestions that have been constructed using a range of log analysis methods as well as different baseline approaches. The experimental results demonstrate the usefulness of log analysis to extract query modification suggestions. Furthermore, our experiments demonstrate that a more fine-grained approach than grouping search requests into sessions allows to extract better refinement terms from query log files. Finally, locally collected log files are shown to be potentially useful for extracting term relations that are relevant beyond the domain on which they were collected.

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Section: Discussionsupporting

confidence: 92%

Section: Related Workmentioning

confidence: 99%

Deriving query suggestions for site search

Kruschwitz

Lungley

Albakour

et al. 2013

J Am Soc Inf Sci Tec

Self Cite

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“…It is of course perfectly reasonable to extend this and insert links that might not originally have been there or to combine this work with alternative ideas of adaptation such as adaptive search, e.g. [22,3].…”

Section: Discussionmentioning

confidence: 99%

Applying Web Usage Mining for Adaptive Intranet Navigation

Saad

Kruschwitz

2011

Lecture Notes in Computer Science

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Abstract. Much progress has recently been made in assisting a user in the search process, be it Web search where the big search engines have now all incorporated more interactive features or be it online shopping where customers are commonly recommended items that appear to match the customer's interest. While assisted Web search relies very much on implicit information such as the users' search behaviour, recommender systems typically rely on explicit information, expressed for example by a customer purchasing an item. Surprisingly little progress has however been made in making navigation of a Web site more adaptive. Web sites can be difficult to navigate as they tend to be rather static and a new user has no idea what documents are most relevant to his or her need. We try to assist a new user by exploiting the navigation behaviour of previous users. On a university Web site for example, the target users change constantly. In a company the change might not be that dramatic, nevertheless new employees join the company and others retire. What we propose is to make the Web site more adaptive by introducing links and suggestions to commonly visited pages without changing the actual Web site. We simply add a layer on top of the existing site that makes recommendations regarding links found on the page or pages that are further away but have been typical landing pages whenever a user visited the current Web page. This paper reports on a task-based evaluation that demonstrates that the idea is very effective. Introducing suggestions as outlined above was found to be not just preferred by the users of our study but allowed them also to get to the results more quickly.

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“…For the specific experiments, we use the log files collected on an existing site search engine over a period of three years 1 to bootstrap such a model, i.e., our group profile. The idea is that query logs, the structure of logs discussed here, are segmented into sessions and then turned into a graph structure (Kruschwitz et al 2011). We then apply this profile in the summarisation process.…”

Section: Log-based Profilesmentioning

confidence: 99%

Towards Profile-Based Document Summarisation for Interactive Search Assistance

Alhindi

2013

Electronic Workshops in Computing

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This paper presents an investigation into the utility of profile-based summarisation in the context of site and enterprise search. We employ log analysis to acquire continuously updated profiles to provide profile-based summarisations of search results with the intention of highlighting aspects of the documents that best fit the general user profile. We first introduce the wider context of the research and then focus on a first task-based evaluation using TREC Interactive Track guidelines that compares a search system that uses the outlined profile-based summarisation with two baseline systems to assess whether such summaries could be helpful in a realistic search setting.

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Moving towards Adaptive Search in Digital Libraries

Cited by 8 publications

References 46 publications

Deriving query suggestions for site search

Deriving query suggestions for site search

Applying Web Usage Mining for Adaptive Intranet Navigation

Towards Profile-Based Document Summarisation for Interactive Search Assistance

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