Affiliation:
1. Rutgers University, New Brunswick, NJ
Abstract
Although we see the positive results of information retrieval research embodied throughout the Internet, on our computer desktops, and in many other aspects of daily life, at the same time we notice that people still have a wide variety of difficulties in finding information that is useful in resolving their problematic situations. This suggests that there still remain substantial challenges for research in IR. Already in 1988, on the occasion of receiving the ACM SIGIR Gerard Salton Award, Karen Spärck Jones suggested that substantial progress in information retrieval was likely only to come through addressing issues associated with users (actual or potential) of IR systems, rather than continuing IR research's almost exclusive focus on document representation and matching and ranking techniques. In recent years it appears that her message has begun to be heard, yet we still have relatively few substantive results that respond to it. In this paper, I identify and discuss a few challenges for IR research which fall within the scope of association with users, and which I believe, if properly addressed, are likely to lead to substantial increases in the usefulness, usability and pleasurability of information retrieval.
Publisher
Association for Computing Machinery (ACM)
Subject
Hardware and Architecture,Management Information Systems
Cited by
71 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Multi-perspective approach for curating and exploring the history of climate change in Latin America within digital newspapers;Computer Science and Information Systems;2023
2. Introduction;A Behavioral Economics Approach to Interactive Information Retrieval;2023
3. Feedback beyond accuracy: Using eye‐tracking to detect comprehensibility and interest during reading;Journal of the Association for Information Science and Technology;2022-05-24
4. Search Interfaces for Biomedical Searching;ACM SIGIR Conference on Human Information Interaction and Retrieval;2022-03-14
5. Do Affective Cues Validate Behavioural Metrics for Search?;Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval;2021-07-11