Daniel Hienert
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View article: What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce
What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce Open
Recent advances in natural language processing and deep learning have accelerated the development of digital assistants. In conversational commerce, these assistants help customers find suitable products in online shops through natural lan…
View article: Know What Not To Know: Users’ Perception of Abstaining Classifiers
Know What Not To Know: Users’ Perception of Abstaining Classifiers Open
Machine learning systems can help humans to make decisions by providing\ndecision suggestions (i.e., a label for a datapoint). However, individual\ndatapoints do not always provide enough clear evidence to make confident\nsuggestions. Alth…
View article: Evaluation of Word Embeddings for the Social Sciences
Evaluation of Word Embeddings for the Social Sciences Open
Word embeddings are an essential instrument in many NLP tasks. Most available resources are trained on general language from Web corpora or Wikipedia dumps. However, word embeddings for domain-specific language are rare, in particular for …
View article: UNDR: User-Needs-Driven Ranking of Products in E-Commerce
UNDR: User-Needs-Driven Ranking of Products in E-Commerce Open
Online retailers often offer a vast choice of products to their customers to filter and browse through. The order in which the products are listed depends on the ranking algorithm employed in the online shop. State-of-the-art ranking metho…
View article: Online information retrieval evaluation using the STELLA framework
Online information retrieval evaluation using the STELLA framework Open
Introduction: Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in production, new opportunities to observe, evaluate a…
View article: Towards hierarchical affiliation resolution: framework, baselines, dataset
Towards hierarchical affiliation resolution: framework, baselines, dataset Open
Author affiliations provide key information when attributing academic performance like publication counts. So far, such measures have been aggregated either manually or only to top-level institutions, such as universities. Supervised affil…
View article: How Accurate Does It Feel? – Human Perception of Different Types of Classification Mistakes
How Accurate Does It Feel? – Human Perception of Different Types of Classification Mistakes Open
Supervised machine learning utilizes large datasets, often with ground truth labels annotated by humans. While some data points are easy to classify, others are hard to classify, which reduces the inter-annotator agreement. This causes noi…
View article: Examining the use of text and video resources during web-search based learning—a new methodological approach
Examining the use of text and video resources during web-search based learning—a new methodological approach Open
The present paper introduces a new methodological approach to capture and analyse the processing and use of text, images, and video content during web-search based learning on the free web. We asked 108 university students to search the we…
View article: SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search Open
The emerging research field Search as Learning investigates how the Web\nfacilitates learning through modern information retrieval systems. SAL research\nrequires significant amounts of data that capture both search behavior of users\nand …
View article: Social Sciences Word Embeddings in FastText
Social Sciences Word Embeddings in FastText Open
These social science word embeddings in FastText have been created from 37,604 open access social science research papers from the social science access repository (https://www.gesis.org/ssoar/home). They are available in German and Englis…
View article: Social Sciences Word Embeddings in FastText
Social Sciences Word Embeddings in FastText Open
These social science word embeddings in FastText have been created from 37,604 open access social science research papers from the social science access repository (https://www.gesis.org/ssoar/home). They are available in German and Englis…
View article: Dataset of Natural Language Queries for E-Commerce
Dataset of Natural Language Queries for E-Commerce Open
Shopping online is more and more frequent in our everyday life. For\ne-commerce search systems, understanding natural language coming through voice\nassistants, chatbots or from conversational search is an essential ability to\nunderstand …
View article: Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries
Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries Open
Search systems on the Web rely on user input to generate relevant results.\nSince early information retrieval systems, users are trained to issue keyword\nsearches and adapt to the language of the system. Recent research has shown\nthat us…
View article: Charaterizing RDF graphs through graph-based measures – framework and assessment
Charaterizing RDF graphs through graph-based measures – framework and assessment Open
The topological structure of RDF graphs inherently differs from other types of graphs, like social graphs, due to the pervasive existence of hierarchical relations (TBox), which complement transversal relations (ABox). Graph measures captu…
View article: mazlo/lodcc: v0.5.1
mazlo/lodcc: v0.5.1 Open
With this minor release refactorings and changes in the package structure were expanded. This concerns in particular the util and graph.helpers package. Code in these packages was split up. New packages extras and graph.extras were introdu…
View article: The Role of Word-Eye-Fixations for Query Term Prediction
The Role of Word-Eye-Fixations for Query Term Prediction Open
Throughout the search process, the user's gaze on inspected SERPs and\nwebsites can reveal his or her search interests. Gaze behavior can be captured\nwith eye tracking and described with word-eye-fixations. Word-eye-fixations\ncontain the…
View article: A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs Open
As the availability and the inter-connectivity of RDF datasets grow, so does the necessity to understand the structure of the data. Understanding the topology of RDF graphs can guide and inform the development of, e.g. synthetic dataset ge…
View article: Reading Protocol
Reading Protocol Open
In Interactive Information Retrieval (IIR) experiments the user's gaze motion on web pages is often recorded with eye tracking. The data is used to analyze gaze behavior or to identify Areas of Interest (AOI) the user has looked at. So far…
View article: Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks Open
In Interactive Information Retrieval (IIR) experiments the user's gaze motion on web pages is often recorded with eye tracking. The data is used to analyze gaze behavior or to identify Areas of Interest (AOI) the user has looked at. So far…
View article: A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs Open
As the availability and the inter-connectivity of RDF datasets grow, so does the necessity to understand the structure of the data. Understanding the topology of RDF graphs can guide and inform the development of, e.g. synthetic dataset ge…
View article: Evaluation of a search interface for preference-based ranking
Evaluation of a search interface for preference-based ranking Open
Finding a product online can be a challenging task for users. Faceted search\ninterfaces, often in combination with recommenders, can support users in\nfinding a product that fits their preferences. However, those preferences are\nnot alwa…
View article: Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper Open
Two key, but usually ignored, issues for the evaluation of methods of personalization for information retrieval are: that such evaluation must be of a search session as a whole; and, that people, during the course of an information search …
View article: Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search
Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search Open
Within a search session users often apply different search terms, as well as different variations and combinations of them. This way, they want to make sure that they find relevant information for different stages and aspects of their info…
View article: Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search Open
Models in Interactive Information Retrieval (IIR) are grounded very much on the user's task in order to give system support based on different task types and topics. However, the automatic recognition of user interests from log data in sea…
View article: Challenges for Measuring Usefulness of Interactive IR Systems with Log-based Approaches
Challenges for Measuring Usefulness of Interactive IR Systems with Log-based Approaches Open
The usefulness evaluation model proposed by Cole et al. in 2009 [2] focuses on the evaluation of interactive IR systems by their support towards the user's overall goal, sub goals and tasks. This is a more human focus of the IR evaluation …
View article: The Role of the Task Topic in Web Search of Different Task Types
The Role of the Task Topic in Web Search of Different Task Types Open
When users are looking for information on the Web, they show different behavior for different task types, e.g., for fact finding vs. information gathering tasks. For example, related work in this area has investigated how this behavior can…
View article: Understanding the information needs of social scientists in Germany
Understanding the information needs of social scientists in Germany Open
The information needs of social science researchers are manifold and almost studied in every decade since the 1950s. With this paper, we contribute to this series and present the results of three studies. We asked 367 social science resear…
View article: A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services
A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services Open
In Interactive Information Retrieval (IIR) different services such as search\nterm suggestion can support users in their search process. The applicability\nand performance of such services is either measured with different\nuser-centered s…
View article: Making sense of Open Data Statistics with Information from Wikipedia
Making sense of Open Data Statistics with Information from Wikipedia Open
Today, more and more open data statistics are published by governments, statistical offices and organizations like the United Nations, The World Bank or Eurostat. This data is freely available and can be consumed by end users in interactiv…
View article: Exploring semantically-related concepts from Wikipedia: the case of SeRE
Exploring semantically-related concepts from Wikipedia: the case of SeRE Open
In this paper we present our web application SeRE designed to explore semantically related concepts. Wikipedia and DBpedia are rich data sources to extract related entities for a given topic, like in- and out-links, broader and narrower te…