Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interaction

Agosti, Maristella; Crivellari, Franco; Nunzio, Giorgio Maria Di

doi:10.1007/s10618-011-0236-8

Cited by 6 publications

(4 citation statements)

References 76 publications

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“…There are extensive user query log analysis studies on web search engines and R systems in the literature (Agosti, Crivellari & Nunzio, ; Chau et al, ; Chen & Cooper, ; Cooper, ; He et al, ; Hsieh‐Yee, ; Jansen et al, ; Jansen & Spink, ; Jansen, ; Jansen & Spink, , 2006; Jansen, Spink, Bateman, & Saracevic, 1998; Jansen, Spink, & Saracevic, ; Limam, Coquil, Kosch, & Brunie, ; Marchionini, ; Mat‐Hassan & Levene, ; Ross & Wolfram, ; Silverstein, Marais, Henzinger, & Moricz, ; Stenmark, ; Stenmark & Jadaan, ; Teevan et al, ; Yi, Beheshti, Cole, Leide, & Large, ; Wolfram, ; Zhang, Wolfram, & Wang, ). For example, Stenmark () used an automatic clustering technique to analyze search engine log files from a corporate intranet and divided searchers into three categories based on their actual search behavior: fact seekers who would benefit from higher precision; holistically oriented seekers who would benefit more from higher recall; and knowledgeable users who are information‐seeking savvy.…”

Section: Literature Reviewmentioning

confidence: 99%

A longitudinal study of user queries and browsing requests in a case‐based reasoning retrieval system

Tian

2017

Asso for Info Science & Tech

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This article reports on a longitudinal analysis of query logs of a web‐based case library system during an 8‐year period (from 2005 to 2012). The analysis studies 3 different information‐seeking approaches: keyword searching, browsing, and case‐based reasoning (CBR) searching provided by the system by examining the query logs that stretch over 8 years. The longitudinal dimension of this study offers unique possibilities to see how users used the 3 different approaches over time. Various user information‐seeking patterns and trends are identified through the query usage pattern analysis and session analysis. The study identified different user groups and found that a majority of the users tend to stick to their favorite information‐seeking approach to meet their immediate information needs and do not seem to care whether alternative search options will offer greater benefits. The study also found that return users used CBR searching much more frequently than 1‐time users and tend to use more query terms to look for information than 1‐time users.

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Section: Literature Reviewmentioning

confidence: 99%

A longitudinal study of user queries and browsing requests in a case‐based reasoning retrieval system

Tian

2017

Asso for Info Science & Tech

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“…Agosti, Crivellari, and Di Nunzio () reviewed research on log analysis during the past decade and identified two main areas: web search engine log analysis and digital library systems log analysis. The goal of web search engine log analysis is to characterize users' information need: how users make requests by submitting queries to the search engine, how users interact with the search engine to retrieve search results, and how the search engine organizes and presents search results.…”

Section: Related Workmentioning

confidence: 99%

Analyzing the interaction patterns in a faceted search interface

Niu

Hemminger

2014

Asso for Info Science & Tech

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Since the adoption of faceted search in a small number of academic libraries in 2006, faceted search interfaces have gained popularity in academic and public libraries. This article clarifies whether faceted search improves the interactions between searchers and library catalogs and sheds light on ways that facets are used during a library search. To study searchers' behaviors in natural situations, we collected from the servers a data set with more than 1.5 million useful search logs. Logs were parsed, statistically analyzed, and manually studied using visualization tools to gain a general understanding of how facets are used in the search process. A user experiment with 24 subjects was conducted to further understand contextual information, such as the searchers' motivations and perceptions. The results indicate that most searchers were able to understand the concept of facets naturally and easily. The faceted search was not able to shorten the search time but was able to improve the search accuracy. Facets were used more for open‐ended tasks and difficult tasks that require more effort to learn, investigate, and explore. Overall, the results weaved a detailed “story” about the ways that people use facets and the ways that facets help people use library catalogs.

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“…L'analyse de la journalisation est une vieille technique de recherche en informatique (Tolle, 1983). Lorsqu'elle porte sur l'utilisation des systèmes par des utilisateurs, elle consiste à étudier les échanges électroniques entre les systèmes et les personnes (Agosti et al, 2011) ; (Agosti et Di Nunzio, 2007) ; (Jansen, 2009). Le forage de données en EIAH est l'analyse de cette journalisation de grands volumes de d'échanges entre l'étudiant et le système.…”

Section: Analyse De Journalisation Et Traces Utilisateursunclassified

Analyse chronologique des traces journalisées d’un guide d’étude pour apprentissage autonome

Lemieux¹,

Desmarais²,

Robillard³

2013

stice

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■ RÉSUMÉ • Les environnements informatiques pour l'apprentissage humain (EIAH) et le Web multiplient les opportunités d'apprentissage autonome. Les exerciseurs jouent un rôle important pour ce type d'apprentissage car ils fournissent un encadrement essentiel à la démarche d'étude d'un cours, pour la préparation d'un examen et pour l'obtention d'un diplôme. Un guide d'étude en ligne comprenant un exerciseur est ici présenté. Il a été développé pour l'apprentissage de mathématiques pré-universitaire dans une école de génie. Cette application a été déployée en mode expérimental durant un trimestre. Une majorité d'utilisateurs l'ont utilisé brièvement, alors que quelques autres l'ont utilisé plus intensivement. Des traces journalisées détaillées permettent d'obtenir un portrait de leur utilisation. Nous présentons différentes analyses descriptives de ces traces et dégageons quatre profils d'utilisation. Nous décrivons une méthode d'analyse basée sur les séquences des activités des utilisateurs qui permet de visualiser l'utilisation dans le temps. L'analyse des séquences est appliquée pour caractériser les niveaux d'activités selon une perspective chronologique.■ MOTS-CLÉS • EIAH, guide d'étude, exerciseur, analyse de séquence, engagement, désengagement continuité d'utilisation, niveau d'utilisation, comportement, profils d'apprenants, apprentissage autonome, analyse de traces, journalisation.. ■ ABSTRACT • • Web-based learning environments are raising the opportunities of autonomous learning to new levels. Exercisers play an important role within this context, because they offer guidance and feedback to the student who needs to prepare for an exam, a course, or a diploma. We present an online study guide including an exerciser developed in our engineering school aimed at freshmen student before they start their degree. A pilot study that lasted one semester showed various degrees of motivation towards using the system, as measure by continuance intention. A majority of the students briefly used the exerciser, while a few of them made extensive, multi-day use. Detailed logs of their usage allowed us to reconstruct the precise use of the system. We report François LEMIEUX, Michel C. DESMARAIS, Pierre N. Robillard 2 different means to analyse these logs, from which we extracted four usage profiles. We describe a sequence analysis method that allows a visual analysis of the users activities in time. We show how this method helps to identify patterns of use for each level of usage.■ KEYWORDS • Web-based learning environment, study guide, exerciser, sequence analysis, engagement, disengagement, continuance intention, level of usage, behaviour, usage profile, autonomous learning, log analysis Sticef -Recueil 2013 3

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Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interaction

Cited by 6 publications

References 76 publications

A longitudinal study of user queries and browsing requests in a case‐based reasoning retrieval system

A longitudinal study of user queries and browsing requests in a case‐based reasoning retrieval system

Analyzing the interaction patterns in a faceted search interface

Analyse chronologique des traces journalisées d’un guide d’étude pour apprentissage autonome

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