Aggregate Recommendation For Web Mining

Improving Aggregate Recommendation Diversity Using …

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques ... Exploration Through Recommendations Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 10.1145 ... Reconciling the Accuracy-Diversity Trade-off in Recommendations Proceedings of the ACM Web Conference 2024 …

Improving Aggregate Recommendation Diversity Using Ranking-Based

Discovery and Evaluation of Aggregate Usage Profiles …

In this paper we present and experimentally evaluate two techniques, based on clustering of user transactions and clustering of pageviews, in order to discover overlapping aggregate profiles that can be effectively used by recommender systems for real-time Web personalization.

Relevance Meets Diversity: A User-Centric Framework for …

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques. IEEE Trans. Knowl. ... Content-Based Recommendation Systems. In The Adaptive Web, Methods and Strategies of Web Personalization, Vol. 4321. ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. August 2024. 6901 pages. …

A Causal View for Item-level Effect of Recommendation on …

Rolf Jagerman, Ilya Markov, and Maarten de Rijke. 2019. When people change their mind: Off-policy evaluation in non-stationary recommendation environments. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. 447- …

On improving aggregate recommendation diversity and novelty …

On improving aggregate recommendation diversity and novelty in folksonomy-based social systems ... Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, pp 955---963. Crossref. Google Scholar [24] Patil CB, Wagh RB (2013) Recommendation diversity for web personalization: a survey. Int Mag …

Automatic Personalization Based on Web -Usage Mining

usage mining can help improve the scalability, accuracy, and flexibility of recommender systems. The ease and speed with which business transactions can be carried …

Web service recommendation for mashup creation based …

Qi L, Song H, Zhang X, Srivastava G, Xu X, and Yu S Compatibility-aware web API recommendation for mashup creation via textual description mining ACM Trans Multimed Comput Commun Appl 2021 17 1s 1-19 Crossref

Trust-aware recommendation for improving aggregate …

In this paper, we focus on solving this problem and propose a novel trust-aware recommendation method by incorporating time factor into similarity computation.

Real-time recommendation of diverse related articles

G. Adomavicius and Y. Kwon. Improving aggregate recommendation diversity using ranking-based techniques. Knowledge and Data Engineering, IEEE Transactions on, PP(99):1, 2011. ... Diversifying search results. In Proceedings of the Second ACM International Conference on Web Search and Data Mining, WSDM '09, pages 5--14, New York, NY, USA, …

(PDF) Mining recommendations from the web

Mining recommendations from the web. Guy Shani. 2008, Proceedings of the 2008 ACM conference on Recommender systems - RecSys '08 ...

Aggregate Profiling for Recommendation of Web Pages …

In our paper, pattern analysis is done using Aggregate Usage Profile. Applications: After generating [17] analyzed patterns by using some efficient method leads to providing …

Mining for Web Personalization

This chapter explores the different faces of personalization, traces back its roots and follows its progress, and describes the modules typically comprising a personalization process, demonstrates its close relation to Web mining, depicts the technical issues that arise, recommends solutions when possible, and discusses the effectiveness ofPersonalization and …

MIS final Ch.8 Flashcards

_____ aggregate customers' opinions related to products or services that they have purchased and then suggest them to others with the same interest. Recommendation Web sites _____ offers a secure, convenient, and portable tool for online shopping and stores personal and financial information, such as credit card numbers, passwords, and PINs.

Cognitive-based knowledge learning framework for recommendation

, How serendipity improves user satisfaction with recommendations? a large-scale user evaluation, in: The World Wide Web Conference, 2019, pp. 240 – 250. Google Scholar [15] Wang H., Zhang F., Xie X., Guo M., DKN: deep knowledge-aware network for news recommendation, in: Proceedings of the 2018 World Wide Web conference, 2018, pp. 1835 – 1844.

Improving Aggregate Recommendation Diversity Using …

Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy (as exemplified by the recent Netflix Prize competition), other important aspects of …

Site Planning Elements for Aggregate Mining …

SITE PLANNING ELEMENTS FOR AGGREGATE MINING OPERATIONS1 by Anthony M. 2 Abstract. Aggregate mining is an urban land use. As a result the industry faces opposition from an increasing number of people and a greater number of competing land uses. In response to this conflict the industry must, if it wishes to remain near its

Web Usage Mining Approaches for Web Page …

usage mining can help improve the scalability, accuracy, and flexibility of recommender systems. Thus, Web usage mining can reduce the need for obtaining subjective user ratings or …

पीक्षा निंत्रक का काााल / OFFICE OF THE …

allied subject with 55% marks in aggregate or equivalent CGPA. OR B.Tech. in Mathematics and Computing/any allied subjects with 75% marks in aggregate or equivalent CGPA with a valid GATE Score. Minimum two recommendation Letters from the Institute/ University from where B.E./B.Tech degree was obtained. APPLIED CHEMISTRY:

Using external aggregate ratings for improving individual recommendations

Jameson, A. and Smyth, B. 2007. Recommendation to groups. In The Adaptive Web: Methods and Strategies of Web Personalization, P. Brusilovsky, A. Kobsa, and W. Nejdl Eds., Springer, 596--627. ... Leveraging aggregate ratings for better recommendations. In Proceedings of the ACM Conference on Recommender Systems, 161--164. ... In Proceedings of ...

An adjustable re-ranking approach for improving the …

Recently, individual diversity and aggregate diversity of product recommendations have been recognized as important dimensions in evaluating the recommendation effectiveness. However, the gain of either diversity is usually at the cost of accuracy and the increase of one diversity does not guarantee a significant improvement in the other.

Effective Ranking and Recommendation on Web Page …

To deal with such problems, in this paper, we propose a novel approach for personalized page ranking and recommendation by integrating association mining and PageRank so as to meet user's search goals. Moreover, by mining the users' browsing behaviors, we can successfully bridge the gap between global search results and local …

On discovering non-obvious recommendations

G. Adomavicius and Y. Kwon. Improving aggregate recommendation diversity using ranking-based techniques. Knowledge and Data Engineering, IEEE Transactions on, 24(5):896--911, 2012. ... Proceedings of the 7th ACM international conference on Web search and data mining. February 2014. 712 pages. ISBN: 9781450323512. DOI: 10.1145/2556195. General ...

LACFAC-location-aware collaborative filtering and …

This paper presents a location-aware collaborative filtering CF and association-based clustering approach for web service recommendation. The similarity between users and web services is measured by considering the personalised deviation of QoS of web services and QoS experiences of users.

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Who likes it more? | Proceedings of the 7th ACM …

In this work, we focus on long-tail item promotion and aggregate diversity enhancement, and propose a novel approach which diversifies the results of recommender …

A Web Recommendation Technique Based on Probabilistic …

This work proposes a Web recommendation framework incorporating Web usage mining technique based on Probabilistic Latent Semantic Analysis (PLSA) model, which has …

Cognitive-based knowledge learning framework for recommendation

G. Adomavicius, Y. Kwon, Maximizing aggregate recommendation diversity: a graph ... Y. Yuan, Z. Liu, X. He, T.-S. Chua, Learning intents behind interactions with knowledge graph for recommendation, Proc. Web Conferen. 2021 (2021) 878 ... Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery and data mining, 2019, pp ...

Mining Latent Structures for Multimedia Recommendation

Multimedia content is of predominance in the modern Web era. Investigating how users interact with multimodal items is a continuing concern within the rapid development of recommender systems. The majority of previous work focuses on modeling user-item interactions with multimodal features included as side information. However, this scheme is not well …