標(biāo)題: Titlebook: Recommender Systems Handbook; Francesco Ricci,Lior Rokach,Paul B. Kantor Book 20111st edition Springer-Science+Business Media, LLC 2011 Co [打印本頁] 作者: 桌前不可入 時(shí)間: 2025-3-21 20:09
書目名稱Recommender Systems Handbook影響因子(影響力)
書目名稱Recommender Systems Handbook影響因子(影響力)學(xué)科排名
書目名稱Recommender Systems Handbook網(wǎng)絡(luò)公開度
書目名稱Recommender Systems Handbook網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Recommender Systems Handbook被引頻次
書目名稱Recommender Systems Handbook被引頻次學(xué)科排名
書目名稱Recommender Systems Handbook年度引用
書目名稱Recommender Systems Handbook年度引用學(xué)科排名
書目名稱Recommender Systems Handbook讀者反饋
書目名稱Recommender Systems Handbook讀者反饋學(xué)科排名
作者: 無能力之人 時(shí)間: 2025-3-21 21:14
Guy Shani,Asela Gunawardanaidealistic’ elements in . forms, but believe that Weber’s division of these forms and his acceptance that they cannot be integrated is a weakness of his analysis which is unnecessary. They all believe that the division of the forms of action has produced a rigid, mechanical and oppressive account of作者: 步兵 時(shí)間: 2025-3-22 00:47 作者: CRACY 時(shí)間: 2025-3-22 06:24
Jérome Picault,Myriam Ribière,David Bonnefoy,Kevin Merceridealistic’ elements in . forms, but believe that Weber’s division of these forms and his acceptance that they cannot be integrated is a weakness of his analysis which is unnecessary. They all believe that the division of the forms of action has produced a rigid, mechanical and oppressive account of作者: 整潔漂亮 時(shí)間: 2025-3-22 09:24
Robin Burke,Maryam Ramezaniganized in a specific way will behave. For example, as a result of different genes being expressed, the organizational pattern of interactions between proteins varies in different tissues or in the same tissue in different strains of a species. This poses an even greater problem when it is recognize作者: 使服水土 時(shí)間: 2025-3-22 13:18 作者: 琺瑯 時(shí)間: 2025-3-22 19:12 作者: aqueduct 時(shí)間: 2025-3-23 00:17
Lorraine McGinty,James Reilly force of mechanistic explanation and of dynamic mechanistic explanation, we show that the two types of explanations can be construed as limit cases of a more general pattern of explanation – Causally Interpreted Model Explanations – that draws its explanatory force from a ., a . that links the mode作者: 防銹 時(shí)間: 2025-3-23 04:53 作者: EWE 時(shí)間: 2025-3-23 07:41 作者: colony 時(shí)間: 2025-3-23 10:01
Pearl Pu,Boi Faltings,Li Chen,Jiyong Zhang,Paolo Viappianiare naturally, unconsciously, necessarily ontological, then science would seem to need this ontology ., not in the process of being worked out, but already completely worked out; in other words, it must have made a choice between the possible metaphysical systems.作者: 放逐 時(shí)間: 2025-3-23 17:56
ractitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a 978-0-387-85820-3作者: Infuriate 時(shí)間: 2025-3-23 19:41
Xavier Amatriain,Alejandro Jaimes*,Nuria Oliver,Josep M. Pujol作者: 惡心 時(shí)間: 2025-3-24 00:25
Alexander Felfernig,Gerhard Friedrich,Dietmar Jannach,Markus Zanker作者: 種族被根除 時(shí)間: 2025-3-24 05:27
Content-based Recommender Systems: State of the Art and Trendscond part of the chapter provides a review of the state of the art of systems adopted in several application domains, by thoroughly describing both classical and advanced techniques for representing items and user profiles. The most widely adopted techniques for learning user profiles are also prese作者: 免除責(zé)任 時(shí)間: 2025-3-24 07:05
Context-Aware Recommender Systemsduce three different algorithmic paradigms – contextual prefiltering, post-filtering, and modeling – for incorporating contextual information into the recommendation process, discuss the possibilities of combining several contextaware recommendation techniques into a single unifying approach, and pr作者: receptors 時(shí)間: 2025-3-24 12:48 作者: 種類 時(shí)間: 2025-3-24 15:18
How to Get the Recommender Out of the Lab?, this chapter intends to be a guide on the design, implementation and evaluation of personalised systems. It presents the different aspects that must be studied before the design is even started, and how to avoid pitfalls, in a hands-on approach. The chapter presents the main factors to take into a作者: 斜 時(shí)間: 2025-3-24 21:15 作者: auxiliary 時(shí)間: 2025-3-24 23:35
Book 20111st editioninterfaces, decision support systems, marketing, and consumer behavior. Theoreticiansand practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a 作者: hazard 時(shí)間: 2025-3-25 05:18
http://image.papertrans.cn/r/image/824124.jpg作者: esculent 時(shí)間: 2025-3-25 10:42
https://doi.org/10.1007/978-0-387-85820-3Collaborative filtering; Content-based filtering; Information access; Personalization; currentsmp作者: LEVER 時(shí)間: 2025-3-25 14:44
Springer-Science+Business Media, LLC 2011作者: 美麗的寫 時(shí)間: 2025-3-25 15:49 作者: Trochlea 時(shí)間: 2025-3-25 23:25 作者: Arboreal 時(shí)間: 2025-3-26 00:57
Introduction to Recommender Systems Handbook,iefly discuss basic RS ideas and concepts. Our main goal is to delineate, in a coherent and structured way, the chapters included in this handbook and to help the reader navigate the extremely rich and detailed content that the handbook offers.作者: faucet 時(shí)間: 2025-3-26 04:41 作者: ablate 時(shí)間: 2025-3-26 08:43
Content-based Recommender Systems: State of the Art and Trendson systems try to recommend items similar to those a given user has liked in the past. Indeed, the basic process performed by a content-based recommender consists in matching up the attributes of a user profile in which preferences and interests are stored, with the attributes of a content object (i作者: Cultivate 時(shí)間: 2025-3-26 14:03 作者: 古文字學(xué) 時(shí)間: 2025-3-26 19:51
Advances in Collaborative Filteringin the recently completed Netflix competition has contributed to its popularity. This chapter surveys the recent progress in the field. Matrix factorization techniques, which became a first choice for implementing CF, are described together with recent innovations. We also describe several extension作者: sorbitol 時(shí)間: 2025-3-26 22:58
Developing Constraint-based Recommenders&taste products such as books, movies, or news. However, especially in the context of products such as cars, computers, appartments, or financial services those approaches are not the best choice (see also Chapter 11). For example, apartments are not bought very frequently which makes it rather infe作者: 不可比擬 時(shí)間: 2025-3-27 04:18
Context-Aware Recommender Systemsn, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into作者: 紳士 時(shí)間: 2025-3-27 07:04 作者: Chromatic 時(shí)間: 2025-3-27 12:37 作者: Needlework 時(shí)間: 2025-3-27 14:03 作者: 雕鏤 時(shí)間: 2025-3-27 21:07 作者: 滋養(yǎng) 時(shí)間: 2025-3-28 01:31 作者: hurricane 時(shí)間: 2025-3-28 02:29 作者: Ophthalmologist 時(shí)間: 2025-3-28 06:28
Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics owho implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding the influence of source characteristics, which is abundant in t作者: 喪失 時(shí)間: 2025-3-28 10:55 作者: ROOF 時(shí)間: 2025-3-28 17:23
Usability Guidelines for Product Recommenders Based on Example Critiquing Researchommerce environments. In this chapter, we survey important usability research work relative to example critiquing and summarize the major results by deriving a set of usability guidelines. Our survey is focused on three key interaction activities between the user and the system: the initial preferen作者: esthetician 時(shí)間: 2025-3-28 22:04
Data Mining Methods for Recommender Systemsnd Support Vector Machines. We describe the .-means clustering algorithm and discuss several alternatives. We also present association rules and related algorithms for an efficient training process. In addition to introducing these techniques, we survey their uses in Recommender Systems and present cases where they have been successfully applied.作者: 表臉 時(shí)間: 2025-3-29 01:06
A Comprehensive Survey of Neighborhood-based Recommendation Methodsd gives practical information on how to make such decisions. Finally, the problems of sparsity and limited coverage, often observed in large commercial recommender systems, are discussed, and a few solutions to overcome these problems are presented.作者: flimsy 時(shí)間: 2025-3-29 05:19 作者: HEW 時(shí)間: 2025-3-29 09:29
Designing and Evaluating Explanations for Recommender Systemsteraction with the recommender system plays w.r.t. explanations. Finally, we describe a number of explanation styles, and how they may be related to the underlying algorithms. Examples of explanations in existing systems are mentioned throughout.作者: 貧困 時(shí)間: 2025-3-29 12:41 作者: 人充滿活力 時(shí)間: 2025-3-29 19:09
A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment are extensively analyzed by means of off-line and on-line tests, showing the effectiveness of the recommender systems: up to 30% of the recommendations are followed by a purchase, with an estimated lift factor (increase in sales) of 15%.作者: 領(lǐng)導(dǎo)權(quán) 時(shí)間: 2025-3-29 21:15
Matching Recommendation Technologies and Domainsknowledge come from? Different recommendation domains (books vs condominiums, for example) provide different opportunities for the gathering and application of knowledge. These considerations give rise to a mapping between domain characteristics and recommendation technologies.作者: confederacy 時(shí)間: 2025-3-30 02:01 作者: grounded 時(shí)間: 2025-3-30 05:39 作者: 我怕被刺穿 時(shí)間: 2025-3-30 08:56 作者: MEN 時(shí)間: 2025-3-30 12:46
ducts to the end-customers via the Internet or other communi.The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally e作者: 受傷 時(shí)間: 2025-3-30 17:29 作者: 使絕緣 時(shí)間: 2025-3-30 21:27
y, two conceptions of rational action, one competent, but constraining, the other free, but socially meaningless. We have shown how these forms are not different, unconnected conceptions of action, but the components of a contradictory conception of action which requires both the closure of knowledg作者: DEI 時(shí)間: 2025-3-31 02:51 作者: 飛鏢 時(shí)間: 2025-3-31 08:26 作者: amputation 時(shí)間: 2025-3-31 12:21 作者: 聯(lián)邦 時(shí)間: 2025-3-31 13:41 作者: 攀登 時(shí)間: 2025-3-31 20:49
Nikos Manouselis,Hendrik Drachsler,Riina Vuorikari,Hans Hummel,Rob Koperentists have developed accounts of myriads of mechanisms thought to be operative in biology, each involving distinctive parts and operations organized in idiosyncratic ways. The focus on specific mechanisms (e.g., those found in a particular cell type in a given model organism) appears opposed to th作者: Heart-Rate 時(shí)間: 2025-3-31 22:24
