Literature survey on user action interpretation and content recommendation

  Surabhi Bhagat,  Mahesh Katre

Today, millions of user interacts with the search engines to get acquainted with the latest trends. System requires timely updates to ensure that the users get up to date news or advertisements. Instead of digging for a linked search, the system must provide a recommender system which provides with a column of articles related to the users’ search. This can lead to online content optimization. User interaction plays a key role in optimizing the contents of a website. User profiles can be created with the adaptive web pages displaying the recommended contents based on feedback. It is impossible to capture all the contents and display according to the user’s need and thus challenges come across. Personalized web portal services need to be taken a deeper look for content optimization. User Interactions should be managed and applied to the web portals using recommendation models. Recommendation models prove to be significant in online content optimization. The results of an adaptive system are carried out on real user traffic.

Keywords- Content optimization, recommendation models, personalized systems, action interpretation, user segmentation

Unique Identification Number - IJEDR1602036
Page Number(s) - 210-213
Pubished in - Volume 4 | Issue 2 | April 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Surabhi Bhagat,  Mahesh Katre,   "Literature survey on user action interpretation and content recommendation", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.210-213, April 2016, Available at :http://www.ijedr.org/papers/IJEDR1602036.pdf