recommender


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rec·om·mend

 (rĕk′ə-mĕnd′)
v. rec·om·mend·ed, rec·om·mend·ing, rec·om·mends
v.tr.
1. To praise or commend to another as being worthy or desirable; endorse: recommended him for the job; recommended a car instead of an SUV.
2. To make attractive or acceptable: This book has much to recommend it.
3. To advise or counsel: She recommended that we be on time.
4. To commit to the charge of another; entrust: "By these our letters we would have the safety of his person ... recommended to your care" (John Milton).
v.intr.
To give advice or counsel: "recommended against signing an international agreement" (Time).

[Middle English recomenden, from Medieval Latin recommendāre : Latin re-, re- + Latin commendāre, to entrust, commend; see commend.]

rec′om·mend′a·ble adj.
rec′om·mend′er n.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
Translations
References in periodicals archive ?
Zhang, "Statistical attack detection," in Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys '09), pp.
The taxonomy was used to create a session recommender that matched conference attendees' interests with session content, based on a brief questionnaire and attendee profiles.
These are Datum Solutions, Recommender Labs, Senseforth, Simility, Stride.ai, Surukam, Tookitaki and vPhrase.
ISLAMABAD -- Ministry of Information Technology and Telecommunications (MoIT) would introduce a state-of-the-art high performance recommender system to help avoid spam that comes with marketing avenues of all kinds including SMS and emails.
MD, OGDCL , who came as recommender of the FIA Inspector Chaudhary Tauqeer Ahmed allegedly involved in receiving millions of rupees from OGDCL's officials and requested DG FIA to deal with him with soft hands .
Knowledge Based Recommender Systems use the knowledge about users' necessities to infer recommendations not requiring a great amount of data like another approaches [4].
Trust-aware recommender systems have been widely stud-ied, given that social trust provides an alternative view of user preferences other than item ratings trust networks are small-world networks where two random users are socially connected in a small distance, indicating the implication of trust in recommender systems.
The usability of the prototype Hazard Services interface and an experimental flash flood recommender algorithm (described fully below) was evaluated in 2015 through a user-testing approach based on a Questionnaire for User Interaction Satisfaction (QUIS; Chin et al.
When a user opens a shopping website or a mobile te[r.sub.min]al application, a very enthusiastic recommender system will list some commodities in which he or she may be interested based on the purchase history record, browser footprint, evaluation information, and so forth.
The personalized recommender system is one of the most effective tools to resolve this problem, and it also can help enterprises make the users' potential demand a realistic demand [1, 2].
presented a recommender system for data-driven therapy decision support.