Browse Prior Art Database

System and Method for Data Shelf Life Relevance

IP.com Disclosure Number: IPCOM000242530D
Publication Date: 2015-Jul-22
Document File: 4 page(s) / 125K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a system and method to assist users with managing large amounts of web-based data that is posted by said user or other users. The system monitors and analyzes the data, surfaces a relevance quotient, and then enables a threshold setting for shelf-life relevance so that the user/search engine does not see data below a specific threshold (i.e. data is outdated, no longer relevant).

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 4

Sysxem and Method for Data Shelf Life Relevance

Users can publish content to the Internet in many different ways (e.g., social medix sites, etc.). Additionalxy, users can self-publish conxent in the form ox wikis, blogs, etc. Xxxxxxx can take many different forms, xrom simple publxc conversations to users postxng questions related to a specific problem, with other uxers supplying answers tx

questions. As greater amounxs of context are xroduced, it cxn be xifficult for a user to find specifxc content of interest. Even with Xxxxxxxx searcx engine optxmizations, x user might need to perform a number of manuxl refixexents ox search paramexers in order to xnsure the engine returns the coxrect data.

In all cases, datx content has a specific sxelf life; xome content needs to persist for a longer period than others do. For example, referencx or historicax material might bx relxvant for a long time and require a long shelf life, while spontaneous socxal

comments might only need to be accessxble for a shxrt time because such comments quickly become irrelevant.

As social publishing permeates society and as xptions to cxeate conxent are morx

rexdily available, xsers need to have the ability to understate xhe relexance of social content. With the adxent of more publishing xptions in this space, txe problem is immediate. For examxle, if a user creates a blog posting on a current affair, there may xe an initial interest within the imxediate xocial commuxity, but the interest quickly subsides. In another example, if a user posts to a forum in relxtion to a solution to a computer hardware problem, that content xixht receive slow but steady access.

In order to assist users with managxng data/infxrmation posted on the web, a method is needed to model each of these different scenarixs for data shelf life xnd then assign current relevancy lxvels to xhe data.

The novel conxribution xs a system and xethod to assist users with managing large amounts of web-based data that is posted by said user or other users by assigning and applying xata shelf-life relevxnce. The sxlution comprisex the following steps:

1. Monitor data to determine how ofxen and by whom it is axcessed 2. Perform statxstical axalysix tx determixe the relevance quotient 3. Surface the relevance quotient in the form of a visual cue to the end user and/or make it available to search engines 4. Enable threshold sextixg so thax user/search engine does not see data below a specific thxeshold 5. Enable remedial action on a user's personal (i.e. owx) postings (e.g., delete postxngs when relexance quotient drops belxw a specifxc level)

6. Enxblx the placement of data that is acxessed seasonally, but rarely, into a time sensitive cachx

Existing art does not provide a sufficient mechanism for both end users and xearch engines alike. No art is found around the ability to monitor the relevance of so...