Task Recommendation
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The document discusses task recommendation approaches for planning trips to Oslo, focusing on both single-query and mission-aware task recommendations. It outlines relevant problems, methods, and research questions related to how tasks are ranked and recommended during a procedural mission. Additionally, it details dataset construction, including mission detection and relevance judgments for analyzing tasks and their effectiveness.
Task Recommendation
- 1. Task Recommendation Darío Garigliotti University of Stavanger March 22, 2019
- 2. An Example
- 3. An Example Planning a trip to Oslo
- 4. An Example
- 5. An Example things to do in oslo
- 6. An Example things to do in oslo oslo parks
- 7. An Example things to do in oslo oslo parks viking museum
- 8. An Example things to do in oslo oslo parks viking museum psg united
- 9. An Example things to do in oslo oslo parks viking museum psg united dnb
- 10. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo
- 11. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo
- 12. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Session1
- 13. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Session1Session2
- 14. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Session1Session2
- 15. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Session1Session2
- 16. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Session1Session2
- 17. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Missions: M1, M2, M3 Session1Session2
- 18. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Missions: M1, M2, M3 Task T1 Session1Session2
- 19. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Missions: M1, M2, M3 Task T2 Task T1 Session1Session2
- 20. An Example things to do in oslo oslo parks viking museum psg united dnb hotels in oslo Missions: M1, M2, M3 Task T3 Task T2 Task T1 Session1Session2
- 25. Task-based Search Procedural mission Procedural task: A task that can be accomplished by following a sequence of concrete actions or subtasks
- 26. Task-based Search Procedural mission Procedural task: A task that can be accomplished by following a sequence of concrete actions or subtasks
- 27. Task-based Search Procedural mission Procedural task: A task that can be accomplished by following a sequence of concrete actions or subtasks
- 28. Task-based Search Procedural mission Procedural task: A task that can be accomplished by following a sequence of concrete actions or subtasks 1 Choose your location. 2 Choose when you want to go. 3 Plan a loose itinerary. ...
- 29. Problems • Problem I: single-query task recommendation • Input: a single query (from a procedural mission) • Output: a task ranking • Problem II: mission-aware task recommendation • Input: a procedural mission • Output: a task ranking
- 30. Methods • Problem I: single-query task recommendation • Text-based document ranking • Learning-to-Rank • Problem II: mission-aware task recommendation • Aggregation of rankings per query in mission, using method for Problem I
- 31. Research Questions • RQ1: Which one is a solid text-based baseline, in terms of scoring model and document field? • RQ2: How effective is a Learning-to-rank method Vs. the baseline? • RQ3: What are the most useful features when learning to rank tasks? • RQ4: How effective is recommending tasks for a mission Vs. only a single query in the mission?
- 32. Dataset Construction • 0. Mission detection • Dataset from task-based search literature • 3,873 queries in 1,378 search missions • 1. Identification of procedural missions • Binary experts annotation: "Is the task corresponding to this mission procedural?" • 54 procedural missions, 19 of which are single-query • 2. Relevance judgments • Graded crowd annotation: • "Is this document relevant for the task behind this query?" • Pool of documents from several text-based baselines