Reference health
Review of Digital Library Book Recommendation Models
25/25 checkable references clean · checked 2026-08-29
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 25 checked references that resolve
resolves10.1108/02640470610689223
A new efficient approach for data clustering in electronic library using ant colony clustering algorithm
resolves10.1108/01435120910937311
Methodology of analysis and interrelation of data about quality indexes of library services by using data‐ and knowledge‐ mining techniques
resolves10.1108/02640470710837137
Using data mining technology to provide a recommendation service in the digital library
resolves10.1108/02640470810879455
Using adaptive resonance theory and data‐mining techniques for materials recommendation based on the e‐library environment
resolves10.1007/978-3-540-77088-6_8
Content-Based Recommendation Services for Personalized Digital Libraries
resolves10.1109/4235.585892
Ant colony system: a cooperative learning approach to the traveling salesman problem
resolves10.1080/03057920412331272199
On the combination of user-based and item-based collaborative filtering
resolves10.1023/A:1006544522159
A Framework for Collaborative, Content-Based and Demographic Filtering
resolves10.1108/14684520410553750
Combining article content and Web usage for literature recommendation in digital libraries
resolves10.1108/14684520310481436
A prototype WWW literature recommendation system for digital libraries
resolves10.1108/02640470810921655
Measuring e‐CRM service quality in the library context: a preliminary study
The 7 references without a DOI — listed, not checked
no DOI — not checkedE-commerce recommenders: powerful tools for E-business
no DOI — not checkedUsing filtering agents to improve prediction quality in the GroupLens research collaborative filtering system
no DOI — not checkedEmpirical analysis of predictive algorithms for collaborative filtering
no DOI — not checkedBayesian Mxied-effects Models for Recommender Systems
no DOI — not checkedE-Commerce Recommendation Applications
no DOI — not checkedInterest-based Recommendation in Digital Library
no DOI — not checkedGrouplens: An open architecture for collaborative filtering of netnews
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-08-29 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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