“Information Science Trends: Search Engines and Information Retrieval”

Location:

Hamburg University of Applied Sciences
Kunst- und Mediencampus Hamburg
Finkenau 35
22081 Hamburg

Speakers:

  • Prof. Olof Sundin (Lund University, Sweden)
  • Tom Alby (data scientist at Euler Hermes, Germany)
  • Prof. Dirk Lewandowski (Hamburg University of Applied Sciences, Germany).

Focus:

  • Retrieval research on web search engines, web services, professional information services, social media
  • Information seeking behaviour
  • Information retrieval
  • Discovery systems
  • People interacting with search systems
  • Searching in the library and other scientific contexts
  • Understanding user behaviour

Program:

Friday, 26 April 2019

9:30 AM

10:00 AM

Registration

10:00 AM

10:15 AM

Welcome and opening remarks

10:15 AM

11:45 AM

Keynote

Prof. Olof Sundin, Lund University, Sweden

Invisible Search in Everyday Life

How can we understand search and search engines in everyday life? In his lecture Sundin will introduce and discuss some key concepts from his  new book Invisible Search and Online Search Engines: The Ubiquity of Search in Everyday Life (2019, with Jutta Haider); specifically he will elucidate the notions friction of relevance and infrastructural meaning-making. The lecture broadens a traditional understanding of searching in information science by locating searching squarely in society and as entwined with the conditions of everyday life.

11:45 AM

12:30 AM

Dirk Lewandowski, Hamburg University of Applied Sciences, Germany

A call for fair search engines

Search engines like Google have a massive influence on what information users get to see, and on what search results users select. It has been often lamented that search engines are biased. I, however, argue that we have only scratched the surface because search engine bias is a multifaceted concept and the discussion usually solely focuses on some aspects. Further to giving an overview of the topic, I will show how search engine providers (and regulators) can take steps towards making search fair. Whereas a bias-free search engine is impossible, a fair search is. Here, I will not only focus on the big web search engines but also on how developers and product owners can make their search systems fair.

12:30 PM

1:30 PM

Lunch

1:30 PM

2:15 PM

Emmy Le, Otto GmbH & Co. KG, Hamburg, Germany

Product Search at otto.de

OTTO is one of the largest full-range online retailer in Germany with over 2.9 million products. Thus the internal on-site product search with more than 1 million search queries per day is the most critical feature to make relevant products and information easy to find. Achieving the right balance between business, measuring search quality and user needs can be quite challenging when building an ecommerce search engine. How we at OTTO respond to these challenges will be part of this talk.

02:15 PM

04:00 PM

Short presentations

Astrid Mager, Institute of Technology Assessment, Wien, Austria

Alternative search engines as drivers for social change?

Ingo Knuth, Janina Masuhr, Hochschule für Medien, Kommunikation und Wirtschaft, Berlin, Germany

Decision Drivers for Search Engine Usage – The Role of the Lock-in Effects

Christiane Behnert, Hamburg University of Applied Sciences, Germany

Influences on the relevance judgment process in academic search systems

Kawa Nazemi, University of Applied Sciences Darmstadt, Germany

Visual Trend Analytics in Digital Libraries

Sebastian Sünkler, Hamburg University of Applied Sciences, Germany

Trends and Research Challenges in Conversational Search

More short presentations tba.

04:00 PM

04:30 PM

Coffee Break

4:30 PM

4:45 PM

ASIS&T presentation: ASIS&T, the European Chapter, the European Student Chapter

04:45 PM

05:45 PM

Tom Alby, Euler Hermes, Hamburg, Germany

Data Science in Search Engine Development

Machine Learning has been an essential part of large-scale search engine development even before the term "data science" was coined. With the increasing interest in data science and artificial intelligence, the impact of self-learning algorithms on search engine development, relevance and transparency has to be reviewed. In addition, what is the chance for new search engines to succeed without the vast amount of data that has already been collected?

05:45 PM

06:00 PM

Closing remarks

Submission guidelines:

Please submit your extended abstract (up to 1,000 words including references) in English. Submissions are due on: March 31, 2019. Please send your submission to asist.europeanchapter@gmail.com

Accepted abstracts will be presented in the form of short talks (15 mins.).

Participation:

Participating in this event is free. Please register at:
https://www.eventbrite.com/e/information-science-trends-search-engines-and-information-retrieval-tickets-58978348829

We are happy to answer any questions regarding this event. Please send an e-mail to: asist.europeanchapter@gmail.com or any of the ASIST European Chapter officers:

Dirk Lewandowski, dirk.lewandowski@haw-hamburg.de
Aylin Ilhan, aylin.ilhan@hhu.de
Isabelle Dorsch, isabelle.dorsch@hhu.de
Fabian Odoni, fabian.odoni@htwchur.ch
Tamara Heck, heck@dipf.de