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Re-Finding Found Things: An Exploratory Study of How Users Re-Find Information

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arxiv cs/0310011 v1 pith:KEJL5SHH submitted 2003-10-06 cs.HC cs.IR

classification cs.HCcs.IR
keywords informationre-findre-findingfounduserspeopleprocessannotations
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The problem of how people find information is studied extensively; however, the problem of how people organize, re-use, and re-find information that they have found is not as well understood. Recently, several projects have conducted in-situ studies to explore how people re-find and re-use information. Here, we present results and observations from a controlled, laboratory study of refinding information found on the web. Our study was conducted as a collaborative exercise with pairs of participants. One participant acted as a retriever, helping the other participant re-find information by telephone. This design allowed us to gain insight into the strategies that users employed to re-find information, and into how domain artifacts and contextual information were used to aid the re-finding process. We also introduced the ability for users to add their own explicitly artifacts in the form of making annotations on the web pages they viewed. We observe that re-finding often occurs as a two stage, iterative process in which users first attempt to locate an information source (search), and once found, begin a process to find the specific information being sought (browse). Our findings are consistent with research on waypoints; orienteering approaches to re-finding; and navigation of electronic spaces. Furthermore, we observed that annotations were utilized extensively, indicating that explicitly added context by the user can play an important role in re-finding.

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Cited by 1 Pith paper

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  1. When Your Agent Opens the Chat App: Agent-Controlled Search over Raw Chat Logs Rivals Structured Memory

    cs.CL 2026-08 conditional novelty 6.0 of 10

    ReFind, an agent-controlled keyword search over raw chat logs, outperforms structured memory systems such as HippoRAG 2 on conversational-memory benchmarks without building any semantic index.

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