「"Recommendation"」の検索結果 | NDLサーチ

検索結果 138 件

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Recommender systems handbook Third edition

紙図書

Francesco Ricci, Lior Rokach, Bracha Shapira, editorsSpringer[2022]<ND633-D33>

国立国会図書館全国の図書館

要約等...parts: general recommendation techniques, special recommendation techniques, va...... more advanced recommendation techniques, su......systems, group recommendation techniques, re......and multimedia recommendation. This informat......that are using recommendation and personalization technique...
内容細目...art 1: General Recommendation Techniques Tru......g (Koren) Item Recommendation from Implicit ...... Content-based Recommendations (Musto) Part 2: Special Recommendation Techniques Ses......ng Single Item Recommendations (Tintarev) Pe......rattner) Music Recommendation Systems: Techniques, Use Case...

RecSys'17 : proceedings of the eleventh ACM conference on recommender systems : August 27-31, 2017 : Como, Italy : RecSys 2017 : Aug 2017, Como, Italy.

紙図書

The Association for Computing Machinery[2017]<M17-20-52>

国立国会図書館

RecSys'16 : proceedings of the 10th ACM conference on recommender systems : September 15-19, 2016 : Boston, MA, USA : RecSys 2016 : Sep 2016, Boston, MA.

紙図書

The Association for Computing Machinery[2016]<M17-17-2194>

国立国会図書館

RecSys'15 : proceedings of the 9th ACM conference on recommender systems : September 16-20, 2015 : Vienna, Austria : RecSys 2015 : RecSys-2015 conference : Sep 2015, Vienna, Austria.

紙図書

The Association for Computing Machinery[2015]<M17-16-1094>

国立国会図書館

Recent advances in agent-based negotiation : formal models and human aspects : 12th international workshop on agent-based complex automated negotiations : ACAN 2019 : 2019, Macao, China. (Studies in Computational Intelligence ; 958)

紙図書

Springer[2021]<M17-22-326>

国立国会図書館全国の図書館

Recommender systems handbook Second edition.

紙図書

Francesco Ricci, Lior Rokach, Bracha Shapira, editors.Springer[2015]<ND633-B113>

国立国会図書館

Citation Knowledge Mining for On-the-fly Recommendations

デジタル博士論文障害者向け資料あり

Zhang, Yang2022-03-23

インターネットで読める国立国会図書館全国の図書館

件名Citation Recommendation Document Recommendations Recommender System Document ...

RecSys'14 : proceedings of the 8th ACM conference on recommender systems : October 6-10, 2014 : Foster City, Silicon Valley, California, USA : annual RecSys conference : Oct 2014, Foster City, CA.

紙図書

The Association for Computing Machinery[2014]<M17-16-429>

国立国会図書館

Recommender systems handbook

紙図書

Francesco Ricci ... [et al.], editors.Springerc2011.<ND633-B79>

国立国会図書館全国の図書館

スペクトル観点から効果的かつ効率的な個人推薦に向けて

デジタル博士論文障害者向け資料あり

Peng, ShaowenKyoto University2024-03-25

インターネットで読める国立国会図書館全国の図書館

並列タイトル等（連結）Towards Effective and Efficient Personalized Recommendation from a Spectral Perspective
並列タイトル等Towards Effective and Efficient Personalized Recommendation from a Spectral Perspective

3rd ACM conference on recommender systems 2009 : (RecSys '09) : New York, New York, USA : 22-25 October 2009. : Oct 2009, New York, NY.

紙図書

Association for Computing Machineryc2009.<M17-10-2881>

国立国会図書館

RecSys'12 : proceedings of the sixth ACM conference on recommender systems : September 9-13, 2012 : Dublin, Ireland : RecSys 2012 workshop : Sep 2012, Dublin, Ireland.

紙図書

Association for Computing Machineryc2012.<M17-14-249>

国立国会図書館

GLOBE: Data-Driven Support for Group Learning

デジタル博士論文障害者向け資料あり

Liang, Changhao2023-09-25

インターネットで読める国立国会図書館全国の図書館

件名Group learning Data-driven Learning analytics Group formation Purpose-based recommendation

互恵的関係性を構築するための対面状況での情緒的コミュニケーション支援メディアに関する研究

デジタル博士論文障害者向け資料あり

岩本, 拓也2023-03

国立国会図書館

件名...g Service Self Recommendation Robot

RecSys'11 : proceedings of the fifth ACM conference on recommender systems : October 23-27, 2011 : Chicago, Illinois, USA : ACM RecSys 2011 : RecSys'11 workshop : Oct 2011, Chicago, IL.

紙図書

Association for Computing Machineryc2011.<M17-13-860>

国立国会図書館

Research on Recommendation Models for One-class Collaborative Filtering

デジタル博士論文障害者向け資料あり

Zhang, Qian2022-03-23

国立国会図書館

件名collaborative filtering one-class problem recommendation models BPR pairwise ranking m...
一般注記...h attention in recommendation communities be......ications. Many recommendation methods have b......s model, three recommendation models are stu......ng). All three recommendation models conside...... more accurate recommendation results.(4) Wi...... more accurate recommendations.(5) A series ......validate three recommendation models. Experi......fectiveness of recommendation models for sol......s proposed for recommendation models. Experi......the DBPL-based recommendation method outperform other recommendation methods across all evaluation...