Proseminar meant as “Practice Lab” DIY: Literature Research, Oral Presentation, Scientific Writing Abstract task: q Choose a topic on “query understanding” (options on next slide) q Literature research to find 1–3 influential / important papers q Give a short talk motivating your topic and paper choice (5 minutes) q Present the ideas of the selected papers in a longer talk (25–30 minutes) q Write a report similar to a scientific publication (not more than 10 pages, LATEX style will be provided) Scientific Toolbox:I-1 Proseminar Introduction © Hagen 2018 Proseminar meant as “Practice Lab” Possible Topics (but focus on queries!) Starting point: my input / Daniel Tunkelang’s blog q Query types (not in the blog, ask me what is meant!) q q q q q q q Spelling correction Query segmentation Entity recognition / linking Query autocompletion Query expansion Query relaxation Query suggestion [https://queryunderstanding.com/] Clarification q Click models q (not in the blog, ask me what is meant!) q Relevance feedback Personalization Faceted search Search result snippets Search result clustering Question answering q Maybe you have further ideas?! q q q q q (not in the blog, ask me what is meant!) q Task-based search, sessions, missions (not in the blog, ask me what is meant!) Scientific Toolbox:I-2 Proseminar Introduction © Hagen 2018 Proseminar meant as “Practice Lab” First Steps and Priorities 1. Choose a topic (today . . . as in “now”!) 2. Read Tunkelang’s post or get input from me to start from (next 2–3 weeks) 3. Find interesting papers (next 2–3 weeks) 4. Prepare a short talk on the topic (next 2–3 weeks) 5. Short talks 6. Start preparing long talk 7. Start writing the report 8. Submit report Scientific Toolbox:I-4 Tutorial (in 4–5 weeks) (exact schedule in 2–3 weeks) (Deadline for “Introduction”: before Christmas) (Deadline: end of semester but earlier is better!) © Hagen 2020 Proseminar meant as “Practice Lab” Assignments q Query types q N.N. N.N. q Spelling correction q Query segmentation q Entity recognition / linking q Query autocompletion q Query expansion q Query relaxation q Query suggestion q Question answering N.N. N.N. q Search result clustering N.N. N.N. q Search result snippets N.N. N.N. q Faceted search N.N. N.N. q Personalization N.N. N.N. q Relevance feedback N.N. N.N. q Click models N.N. N.N. q Clarification Task-based search, sessions, missions N.N. Scientific Toolbox:I-5 q Tutorial Maybe you have further ideas?! © Hagen 2020